About ProcDNA ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for We are seeking an Associate Engagement Lead &#8211; Analytics to join our team. The ideal candidate brings a solid understanding of the pharmaceutical industry and in-depth knowledge of datasets such as LAAD, DDD, XPO, etc. You enjoy working with complex data sets to help clients solve real world challenges, enhance business performance, manage risk, and develop practical, data-driven strategies. What you will do<ul><li>Data Analysis and Integration: Assist and support the integration and analysis of data from various sources, generating actionable insights and creating high-quality data repositories for informed decision-making.</li><li>Solution Development: Collaborate with senior team members to design and implement data-driven solutions, translating business requirements into technical specifications.</li><li>Data Quality and Benchmarking: Assist and support in establishing data quality benchmarks and implementing processes to ensure data accuracy.</li><li>Client Collaboration and Support: Assist and support in aligning data initiatives with client goals by participating in meetings, gathering requirements, sharing insights, and providing technical support.</li></ul>Must Have<ul><li>3&#8211;5 years of relevant experience in healthcare/pharma consulting, with at least 2 years in the U.S. market. Strong educational background in engineering (Bachelor&#8217;s or Master&#8217;s) with excellent academic performance.</li><li>Proven ability to manage multiple projects simultaneously, ensuring quality and timely delivery.</li><li>Experienced in generating IC reports, scorecards, and HQ reports with accuracy and compliance.</li><li>Skilled in identifying reporting needs, suggesting improvements, and communicating findings to both internal and client teams.</li><li>Creative and analytical problem-solver who works effectively with minimal supervision.</li></ul>

About ProcDNA ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for We are seeking an Associate Engagement Lead – Analytics to join our team. The ideal candidate brings a solid understanding of the pharmaceutical industry and in-depth knowledge of datasets such as LAAD, DDD, XPO, etc. You enjoy working with complex data sets to help clients solve real world challenges, enhance business performance, manage risk, and develop practical, data-driven strategies. What you will do Data Analysis and Integration: Assist and support the integration and analysis of data from various sources, generating actionable insights and creating high-quality data repositories for informed decision-making. Solution Development: Collaborate with senior team members to design and implement data-driven solutions, translating business requirements into technical specifications. Data Quality and Benchmarking: Assist and support in establishing data quality benchmarks and implementing processes to ensure data accuracy. Client Collaboration and Support: Assist and support in aligning data initiatives with client goals by participating in meetings, gathering requirements, sharing insights, and providing technical support. Must Have 3–5 years of relevant experience in healthcare/pharma consulting, with at least 2 years in the U.S. market. Strong educational background in engineering (Bachelor’s or Master’s) with excellent academic performance. Proven ability to manage multiple projects simultaneously, ensuring quality and timely delivery. Experienced in generating IC reports, scorecards, and HQ reports with accuracy and compliance. Skilled in identifying reporting needs, suggesting improvements, and communicating findings to both internal and client teams. Creative and analytical problem-solver who works effectively with minimal supervision.

[SSF] - Associate Engagement Lead - Analytics

Job OverviewAs a Data Scientist, you will play a key role in delivering end-to-end data science solutions across pharmaceutical and healthcare engagements. The role demands a blend of technical depth, business acumen, and scientific curiosity. You will translate complex business problems into analytical frameworks, develop scalable machine learning and statistical solutions, and generate actionable insights that drive commercial, clinical, and operational impact for clients and patients worldwide. Beyond technical execution, you are expected to think strategically, framing business challenges, designing analytical approaches, and guiding clients toward the most effective data-driven decisions.Location - Bangalore, Pune and Gurugram &#160;Key Responsibilities<ul><li>Own day-to-day execution of data science projects from problem definition to deployment, ensuring methodological rigor, business relevance, and timely delivery</li><li>Build, tune, and validate advanced machine learning and statistical models, including supervised techniques (classification, regression, uplift), unsupervised methods (clustering, PCA, GMM), transformer models, and analytical frameworks (hypothesis testing, causal inference, survival analysis) using industry-standard libraries</li><li>Develop clean, modular, and production-ready code with reusable components, adhering to best practices in version control, documentation, and scalable pipeline design for deployment in production or client-facing environments</li><li>Synthesize insights from diverse data sources, including claims, prescription (LAAD), lab, EMR, and unstructured text, into clear narratives driving client decisions tailored to patient, HCP, and market contexts</li><li>Collaborate with consultants, domain experts, and engineers to structure analytical workflows that answer complex commercial or clinical questions.</li><li>Present findings and insights to internal and client stakeholders in a clear, structured, and actionable manner.</li><li>Actively participate in client discussions, supporting solution development and storyboarding for business audiences</li><li>Contribute to internal capability building through reusable ML assets, accelerators, and documentation to strengthen the team&#8217;s solution portfolio.</li></ul>Required Skills<ul><li>Strong hands-on experience in Python, PySpark, and SQL for manipulating and handling large structured and unstructured datasets.</li><li>Strong foundation in machine learning algorithms, feature engineering, model tuning, and evaluation techniques</li><li>Proficiency in data visualization (Power BI, Tableau, MS Office suite or equivalent) and in translating analytical results effectively.</li><li>Ability to structure ambiguous business problems, design analytical roadmaps, and communicate insights effectively to both technical and non-technical stakeholders.</li><li>Strong collaboration and project-management skills for coordinating across multi-disciplinary teams.</li></ul>Preferred Skills<ul><li>Prior experience in the pharmaceutical or life sciences industry, with familiarity across structured data sources such as LAAD, Lab, Sales, and unstructured datasets (e.g., market research, physician notes, publications).</li><li>Experience with R, Rshiny, and data platforms such as Databricks, AWS, Azure, or Snowflake is an advantage.</li><li>Exposure to MLOps frameworks, including MLflow, Docker, Airflow, or CI/CD pipelines, to automate model training, deployment, and monitoring in scalable production environments.</li><li>Experience mentoring junior analysts or collaborating in cross-functional data science teams</li></ul>&#160;<ul><li>Qualifications</li><li>Bachelor&#8217;s or Master&#8217;s degree in Computer Science, Statistics, Mathematics, Data Science, or related fields.</li><li>4-6 years of professional experience in data science, analytics, or advanced modeling roles</li><li>Proven ability to balance analytical rigor with business understanding, delivering models that are explainable, actionable, and production-ready</li></ul>

Job Overview As a Data Scientist, you will play a key role in delivering end-to-end data science solutions across pharmaceutical and healthcare engagements. The role demands a blend of technical depth, business acumen, and scientific curiosity. You will translate complex business problems into analytical frameworks, develop scalable machine learning and statistical solutions, and generate actionable insights that drive commercial, clinical, and operational impact for clients and patients worldwide. Beyond technical execution, you are expected to think strategically, framing business challenges, designing analytical approaches, and guiding clients toward the most effective data-driven decisions. Location - Bangalore, Pune and Gurugram Key Responsibilities Own day-to-day execution of data science projects from problem definition to deployment, ensuring methodological rigor, business relevance, and timely delivery Build, tune, and validate advanced machine learning and statistical models, including supervised techniques (classification, regression, uplift), unsupervised methods (clustering, PCA, GMM), transformer models, and analytical frameworks (hypothesis testing, causal inference, survival analysis) using industry-standard libraries Develop clean, modular, and production-ready code with reusable components, adhering to best practices in version control, documentation, and scalable pipeline design for deployment in production or client-facing environments Synthesize insights from diverse data sources, including claims, prescription (LAAD), lab, EMR, and unstructured text, into clear narratives driving client decisions tailored to patient, HCP, and market contexts Collaborate with consultants, domain experts, and engineers to structure analytical workflows that answer complex commercial or clinical questions. Present findings and insights to internal and client stakeholders in a clear, structured, and actionable manner. Actively participate in client discussions, supporting solution development and storyboarding for business audiences Contribute to internal capability building through reusable ML assets, accelerators, and documentation to strengthen the team’s solution portfolio. Required Skills Strong hands-on experience in Python, PySpark, and SQL for manipulating and handling large structured and unstructured datasets. Strong foundation in machine learning algorithms, feature engineering, model tuning, and evaluation techniques Proficiency in data visualization (Power BI, Tableau, MS Office suite or equivalent) and in translating analytical results effectively. Ability to structure ambiguous business problems, design analytical roadmaps, and communicate insights effectively to both technical and non-technical stakeholders. Strong collaboration and project-management skills for coordinating across multi-disciplinary teams. Preferred Skills Prior experience in the pharmaceutical or life sciences industry, with familiarity across structured data sources such as LAAD, Lab, Sales, and unstructured datasets (e.g., market research, physician notes, publications). Experience with R, Rshiny, and data platforms such as Databricks, AWS, Azure, or Snowflake is an advantage. Exposure to MLOps frameworks, including MLflow, Docker, Airflow, or CI/CD pipelines, to automate model training, deployment, and monitoring in scalable production environments. Experience mentoring junior analysts or collaborating in cross-functional data science teams Qualifications Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or related fields. 4-6 years of professional experience in data science, analytics, or advanced modeling roles Proven ability to balance analytical rigor with business understanding, delivering models that are explainable, actionable, and production-ready

[India] Senior Data Scientist

Unleashing Data for Strategic Insights Position: Director of Business Analytics Analytical Toolkit: Microsoft Excel, PowerPoint, SQL or Python Tableau, SAS, R, Alteryx, etc) Location: Gurugram, Pune About ProcDNA ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 200+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. Ready to join our epic growth journey? What we are looking for You&#8217;ll drive the adoption of the latest analytics in our solutions, bringing thought leadership to guide clients on complex data management problems and enhance business performance. You will work with the leadership team to bring subject matter expertise in areas such as commercial analytics. We are seeking an individual who not only possesses the requisite knowledge but also thrives in the dynamic landscape of a fast-paced global firm. What you&#8217;ll do &#9642; Lead Project Delivery: Ensure the successful delivery of client projects while identifying and building new business opportunities. &#9642; POC and Analytics Development: Design and implement Proofs of Concept (POCs) and solutions to address business problems, diverse data management and governance needs for pharmaceutical clients, from pre commercial to large enterprises &#9642; Team Development: Recruit and cultivate a high performing team to deliver scale-quality work. &#9642; Business Development Collaboration: Partner with the leadership team to identify and nurture strategic business development opportunities &#9642; Thought Leadership: Write and publish insightful articles to establish thought leadership in the industry. &#9642; Conference Engagement: Identify and secure opportunities to present at analytics conferences. Work with clients to structure and model the data to solve complex business problems, and build a strategic decision making process with partners and the Principal Must have &#9642; 10-14 years of strong analytics experience. &#9642; Strong written and verbal communication skills &#9642; Individuals with experience in statistical analysis, predictive modeling, Go-to-market strategy, SFE, structure, segmentation, Sizing, Alignment, Marketing Mix Model, Targeting, and analyzing large datasets to derive insights and make data-driven decisions. &#9642; Ability to manage multiple concurrent projects for various stakeholders with a quality-focused approach &#9642; Experience in developing new work streams, leading client engagements, and business development in the analytics space.. &#9642; Proven capability to identify and recommend appropriate solutions to client needs creatively and analytically, with minimal direction. &#9642; Experience in data development and enterprise-wide data solutions

Unleashing Data for Strategic Insights Position: Director of Business Analytics Analytical Toolkit: Microsoft Excel, PowerPoint, SQL or Python Tableau, SAS, R, Alteryx, etc) Location: Gurugram, Pune About ProcDNA ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 200+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. Ready to join our epic growth journey? What we are looking for You’ll drive the adoption of the latest analytics in our solutions, bringing thought leadership to guide clients on complex data management problems and enhance business performance. You will work with the leadership team to bring subject matter expertise in areas such as commercial analytics. We are seeking an individual who not only possesses the requisite knowledge but also thrives in the dynamic landscape of a fast-paced global firm. What you’ll do ▪ Lead Project Delivery: Ensure the successful delivery of client projects while identifying and building new business opportunities. ▪ POC and Analytics Development: Design and implement Proofs of Concept (POCs) and solutions to address business problems, diverse data management and governance needs for pharmaceutical clients, from pre commercial to large enterprises ▪ Team Development: Recruit and cultivate a high performing team to deliver scale-quality work. ▪ Business Development Collaboration: Partner with the leadership team to identify and nurture strategic business development opportunities ▪ Thought Leadership: Write and publish insightful articles to establish thought leadership in the industry. ▪ Conference Engagement: Identify and secure opportunities to present at analytics conferences. Work with clients to structure and model the data to solve complex business problems, and build a strategic decision making process with partners and the Principal Must have ▪ 10-14 years of strong analytics experience. ▪ Strong written and verbal communication skills ▪ Individuals with experience in statistical analysis, predictive modeling, Go-to-market strategy, SFE, structure, segmentation, Sizing, Alignment, Marketing Mix Model, Targeting, and analyzing large datasets to derive insights and make data-driven decisions. ▪ Ability to manage multiple concurrent projects for various stakeholders with a quality-focused approach ▪ Experience in developing new work streams, leading client engagements, and business development in the analytics space.. ▪ Proven capability to identify and recommend appropriate solutions to client needs creatively and analytically, with minimal direction. ▪ Experience in data development and enterprise-wide data solutions

Director of Analytics

What you&#8217;ll do &#9642; Collaborate with various teams to drive data design, identify architectural risks, and improve the data landscape by developing and refining data models &#9642; Utilize technical expertise in cloud, master data management, data warehousing, and data transformation to develop and test high-quality data solutions &#9642; Lead hands-on development, with familiarity in data mastering and configuration of Reltio and Informatica MDM for HCP and HCO subject areas &#9642; Document complex MDM solutions, including source- to- target mappings, match-merge rules, survivorship rules, and MDM architecture design considerations &#9642; Lead and deliver data-centric projects with a focus on data quality, adherence to data standards, and best practices. Must have &#9642; Computer Science degree with 4-6 years in MDM configurations in pharmaceutical domain &#9642; Expertise in MDM concepts and implementing complex MDM systems from scratch &#9642; Excellent communication and collaboration skills with the ability to manage multiple projects with a quality-focused approach &#9642; Experience in data modeling, development, and testing for enterprise solutions. &#9642; Should have done configurations on the MDM tool ( Match C Merge, survivorship rule, base object, queries and packages and more) &#9642; Familiarity with Azure and AWS is a plus &#9642;Key Skills: Informatica MDM, Reltio MDM,Python, SQL, Data Warehousing &#9642; Must have Knowledge of Azure and AWS. &#9642; Familiarity with Healthcare data sources like SP/SD, IQVIA, claims is a plus.

What you’ll do ▪ Collaborate with various teams to drive data design, identify architectural risks, and improve the data landscape by developing and refining data models ▪ Utilize technical expertise in cloud, master data management, data warehousing, and data transformation to develop and test high-quality data solutions ▪ Lead hands-on development, with familiarity in data mastering and configuration of Reltio and Informatica MDM for HCP and HCO subject areas ▪ Document complex MDM solutions, including source- to- target mappings, match-merge rules, survivorship rules, and MDM architecture design considerations ▪ Lead and deliver data-centric projects with a focus on data quality, adherence to data standards, and best practices. Must have ▪ Computer Science degree with 4-6 years in MDM configurations in pharmaceutical domain ▪ Expertise in MDM concepts and implementing complex MDM systems from scratch ▪ Excellent communication and collaboration skills with the ability to manage multiple projects with a quality-focused approach ▪ Experience in data modeling, development, and testing for enterprise solutions. ▪ Should have done configurations on the MDM tool ( Match C Merge, survivorship rule, base object, queries and packages and more) ▪ Familiarity with Azure and AWS is a plus ▪Key Skills: Informatica MDM, Reltio MDM,Python, SQL, Data Warehousing ▪ Must have Knowledge of Azure and AWS. ▪ Familiarity with Healthcare data sources like SP/SD, IQVIA, claims is a plus.

[India] AEL MDM Developer

Position:&#160;Engagement Lead Location: Bangalore, India Tool Required: S&#490;L, Excel, Python About ProcDNA ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for Are you passionate about driving data-backed decisions in the life sciences space? At ProcDNA, we&#8217;re expanding our Forecasting Team and are looking for someone at an Engagement Lead level with 4.5+ years of hands-on forecasting experience in the pharma domain. What you&#8217;ll do<ul><li>Lead client discussions and deliver custom forecasts for pipeline, in-line, and LOE products</li><li>Design, build, and validate patient-based, patient-flow, analog, and dynamic projection models to accurately simulate market behavior and product performance.</li><li>Translate complex model outputs into clear, actionable insights and strategic recommendations for internal and external cross- functional teams.</li><li>Collaborate with cross-functional teams across commercial, BD, and medical functions</li><li>Develop internal tools and accelerators to enhance forecasting efficiency.</li><li>Ensure model accuracy using market data and competitive insights.</li></ul>Must have<ul><li>4.5 - 6.5 years of hands-on experience in pharmaceutical forecasting, supporting decision-making across various stages of the product lifecycle. Demonstrated ability to adapt forecasting approaches to different market dynamics and therapeutic areas.</li><li>Strong modeling capabilities using Excel and VBA. Good knowledge of integrating cloud capabilities within Excel</li><li>Familiarity with forecasting techniques like Monte Carlo simulations, analog modeling, etc.</li><li>Experience collaborating with global clients and stakeholders</li><li>Strategic thinking with an eye for storytelling through</li></ul>

Position: Engagement Lead Location: Bangalore , India Tool Required: SǪL, Excel, Python About ProcDNA ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for Are you passionate about driving data-backed decisions in the life sciences space? At ProcDNA, we’re expanding our Forecasting Team and are looking for someone at an Engagement Lead level with 4.5+ years of hands-on forecasting experience in the pharma domain. What you’ll do Lead client discussions and deliver custom forecasts for pipeline, in-line, and LOE products Design, build, and validate patient-based, patient-flow, analog, and dynamic projection models to accurately simulate market behavior and product performance. Translate complex model outputs into clear, actionable insights and strategic recommendations for internal and external cross- functional teams. Collaborate with cross-functional teams across commercial, BD, and medical functions Develop internal tools and accelerators to enhance forecasting efficiency. Ensure model accuracy using market data and competitive insights. Must have 4.5 - 6.5 years of hands-on experience in pharmaceutical forecasting, supporting decision-making across various stages of the product lifecycle. Demonstrated ability to adapt forecasting approaches to different market dynamics and therapeutic areas. Strong modeling capabilities using Excel and VBA. Good knowledge of integrating cloud capabilities within Excel Familiarity with forecasting techniques like Monte Carlo simulations, analog modeling, etc. Experience collaborating with global clients and stakeholders Strategic thinking with an eye for storytelling through

[India] Engagement Lead - Analytics (Forecasting)

Position:&#160;Senior Engagement Lead Tool Required: SQL,&#160;Excel,&#160;Python,&#160;R,&#160;VBA Location: Gurugram,&#160;India About ProcDNA ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for Are you passionate about uncovering insights from patient-level data to shape better outcomes in life sciences? At ProcDNA, we&#8217;re growing our Patient Analytics Team and are looking for a Senior Engagement Lead with 8 - 10 years of hands-on experience in patient journey analytics within the pharma space. What you&#8217;ll do<ul><li>Lead client discussions and deliver custom analytics solutions around patient journey mapping, treatment progression, and behavior segmentation.</li><li>Develop and validate patient-level datasets by integrating claims, EMR, and specialty pharmacy data</li><li>Translate complex data into actionable insights to support brand, access, and medical strategies</li><li>Collaborate with cross-functional teams, including commercial, market access, and field operations</li><li>Contribute to building internal accelerators for cohort identification, line-of-therapy analytics, and patient journey visualization</li></ul>Must have<ul><li>8 - 10 years of experience in patient-level analytics across indications, brands, or life cycle stages</li><li>Strong analytical and SQL skills; experience&#160;with Python is a plus.</li><li>Proficiency in Excel and PowerPoint with a strong ability to create and present clear, data- driven narratives</li><li>Experience working with longitudinal data sources (e.g., claims, EMR, SP Hub)</li><li>Strong communication skills with the ability to distill complex data into strategic insights</li><li>Comfort working with global teams and clients in a fast-paced, evolving environment</li></ul>

Position: Senior Engagement Lead Tool Required: SQL, Excel, Python, R, VBA Location: Gurugram, India About ProcDNA ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for Are you passionate about uncovering insights from patient-level data to shape better outcomes in life sciences? At ProcDNA, we’re growing our Patient Analytics Team and are looking for a Senior Engagement Lead with 8 - 10 years of hands-on experience in patient journey analytics within the pharma space. What you’ll do Lead client discussions and deliver custom analytics solutions around patient journey mapping, treatment progression, and behavior segmentation. Develop and validate patient-level datasets by integrating claims, EMR, and specialty pharmacy data Translate complex data into actionable insights to support brand, access, and medical strategies Collaborate with cross-functional teams, including commercial, market access, and field operations Contribute to building internal accelerators for cohort identification, line-of-therapy analytics, and patient journey visualization Must have 8 - 10 years of experience in patient-level analytics across indications, brands, or life cycle stages Strong analytical and SQL skills; experience with Python is a plus. Proficiency in Excel and PowerPoint with a strong ability to create and present clear, data- driven narratives Experience working with longitudinal data sources (e.g., claims, EMR, SP Hub) Strong communication skills with the ability to distill complex data into strategic insights Comfort working with global teams and clients in a fast-paced, evolving environment

[India] Senior Engagement Lead - Analytics

Company: ProcDNA INC.Position Title: Senior AnalystLocation: 200 W Adams St, Suite 2001, Chicago, IL 60606Position Responsibilities: Build short-term revenue forecasts for a major oncology drug manufacturer using LRP, epidemiology, demand studies, and competitive insights. Develop Marketing Mix Models (US &amp; Germany) and a dynamic budget optimizer to guide investment decisions. Analyze multisource pharma data (sales, claims, physician-level) and deliver insights to support business planning. Collaborate with cross-functional client teams to align assumptions and integrate business context into models.Position Requirements: Bachelor&#8217;s degree (or foreign equivalent) in Cognitive Science (Machine Learning &amp; Neural Computation), OR a related field, PLUS one (1) year of experience in the job offered or a related position. Experience must include demonstrable knowledge of: Python Programming; Data Visualization; Exploratory Data Analysis (EDA); Machine Learning &amp; Deep Learning; Large Dataset Handling; Scientific Writing &amp; Communication; Research; Probability Theory; Linear Algebra; Anaconda, and; Git. Required knowledge may be gained prior to or concurrently with Bachelor&#8217;s degree. Travel to unanticipated client locations throughout the U.S., approximately 30% as required. Any suitable combination of education, training, or experience is acceptable.To apply, please email resume to blessing.owoeye@procdna.com. Reference job code 57870.0111. Salary $96,928

Company: ProcDNA INC. Position Title: Senior Analyst Location: 200 W Adams St, Suite 2001, Chicago, IL 60606 Position Responsibilities: Build short-term revenue forecasts for a major oncology drug manufacturer using LRP, epidemiology, demand studies, and competitive insights. Develop Marketing Mix Models (US & Germany) and a dynamic budget optimizer to guide investment decisions. Analyze multisource pharma data (sales, claims, physician-level) and deliver insights to support business planning. Collaborate with cross-functional client teams to align assumptions and integrate business context into models. Position Requirements: Bachelor’s degree (or foreign equivalent) in Cognitive Science (Machine Learning & Neural Computation), OR a related field, PLUS one (1) year of experience in the job offered or a related position. Experience must include demonstrable knowledge of: Python Programming; Data Visualization; Exploratory Data Analysis (EDA); Machine Learning & Deep Learning; Large Dataset Handling; Scientific Writing & Communication; Research; Probability Theory; Linear Algebra; Anaconda, and; Git. Required knowledge may be gained prior to or concurrently with Bachelor’s degree. Travel to unanticipated client locations throughout the U.S., approximately 30% as required. Any suitable combination of education, training, or experience is acceptable. To apply, please email resume to blessing.owoeye@procdna.com. Reference job code 57870.0111. Salary $96,928

Senior Analyst

About ProcDNA: ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for We are seeking a Sr Analyst - Analytics to join our team. The ideal candidate will have a good understanding of the pharmaceutical industry, detailed knowledge of datasets like LAAD, DDD, and XPO, and a passion for working on complex data sets. You will play a critical role in helping clients solve real-world problems, drive business performance, navigate risks, and develop pragmatic, data-driven strategies What you will do<ul><li>Leverage Technology &amp; Best Practices: Use emerging tech and industry best practices to address challenges in healthcare and pharma.</li><li>Data Structuring &amp; Analysis: Structure and model complex data to build statistical models and BI tools that support strategic decisions.</li><li>Advanced Analytics Tools: Utilize Tableau, SAS, R, and Alteryx to improve patient outcomes and manage costs effectively.</li><li>Process Optimization: Streamline recurring tasks by building scalable and efficient operational processes.</li><li>Client Collaboration: Work closely with clients to deliver customized, high-impact solutions.</li><li>Mentorship &amp; Innovation: Support team development and contribute innovative ideas and solutions.</li><li>Internal Growth Initiatives: Develop new internal offerings to drive business growth beyond client work.</li></ul>Must Have<ul><li>2&#8211;3 years of relevant experience in healthcare/pharma consulting, including at least 1 year of experience in the U.S. market.</li><li>Proven experience in persistence and compliance analysis using healthcare claims data.</li><li>Strong expertise in claims-based analytics across patient, provider, and payer levels.</li><li>Bachelor&#8217;s or Master&#8217;s degree in Engineering with a strong academic track record.</li><li>Ability to manage multiple projects and stakeholders while maintaining a high standard of quality.</li><li>Excellent verbal, written, and interpersonal communication skills to effectively present insights to both internal and client teams.</li><li>Demonstrated ability to work independently with minimal supervision in a creative, analytical, and problem-solving environment.</li></ul>

About ProcDNA: ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for We are seeking a Sr Analyst - Analytics to join our team. The ideal candidate will have a good understanding of the pharmaceutical industry, detailed knowledge of datasets like LAAD, DDD, and XPO, and a passion for working on complex data sets. You will play a critical role in helping clients solve real-world problems, drive business performance, navigate risks, and develop pragmatic, data-driven strategies What you will do Leverage Technology & Best Practices: Use emerging tech and industry best practices to address challenges in healthcare and pharma. Data Structuring & Analysis: Structure and model complex data to build statistical models and BI tools that support strategic decisions. Advanced Analytics Tools: Utilize Tableau, SAS, R, and Alteryx to improve patient outcomes and manage costs effectively. Process Optimization: Streamline recurring tasks by building scalable and efficient operational processes. Client Collaboration: Work closely with clients to deliver customized, high-impact solutions. Mentorship & Innovation: Support team development and contribute innovative ideas and solutions. Internal Growth Initiatives: Develop new internal offerings to drive business growth beyond client work. Must Have 2–3 years of relevant experience in healthcare/pharma consulting, including at least 1 year of experience in the U.S. market. Proven experience in persistence and compliance analysis using healthcare claims data. Strong expertise in claims-based analytics across patient, provider, and payer levels. Bachelor’s or Master’s degree in Engineering with a strong academic track record. Ability to manage multiple projects and stakeholders while maintaining a high standard of quality. Excellent verbal, written, and interpersonal communication skills to effectively present insights to both internal and client teams. Demonstrated ability to work independently with minimal supervision in a creative, analytical, and problem-solving environment.

[SSF] Sr Analyst - Analytics

About ProcDNA: ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for We are seeking a Engagement Lead &#8211; Analytics to join our team. You are someone with a strong understanding of the pharmaceutical industry, in-depth knowledge of datasets such as LAAD, DDD, XPO, etc., and a passion for working with complex data to solve real-world business challenges. In this role, you will help clients drive performance, manage risk, and develop practical, data-driven strategies that deliver measurable impact. What you will do<ul><li>Leveraging data and emerging technologies: Build advanced analytics tools using Tableau, SAS, R, Alteryx, etc., to solve complex problems in healthcare and pharma.</li><li>Driving strategic client partnerships: Act as a trusted advisor to client leadership, delivering innovative, high impact solutions that unlock growth for clients and ProcDNA.</li><li>Structuring and modeling data: Analyze complex datasets, implement statistical models, and design BI tools to support data-driven decision-making.</li><li>Leading and mentoring teams: Guide team leads, streamline recurring tasks, and ensure smooth execution and capability development.</li><li>Building internal capabilities: Contribute to internal initiatives and ideate new offerings that enhance team and company growth beyond client work.</li></ul>Must Have<ul><li>5&#8211;7&#160;years of experience in healthcare/pharma consulting, with at least 3+ years in the U.S. market.</li><li>Bachelor&#8217;s or Master&#8217;s degree in Engineering, with strong academic performance.</li><li>Proven ability to manage multiple projects for various stakeholders with a focus on quality.</li><li>Excellent communication skills&#8212;verbal, written, and collaborative&#8212;able to clearly articulate results and issues to internal and client teams.</li><li>Strong problem-solving skills with the ability to work independently in a creative and analytical environment.</li><li>Experience in areas such as IC, Ops, Design, Implementation, Goal Setting, Sales Crediting, Eligibility, Contests, Awards, Targeting, Call Planning, Sizing, Alignment, and Segmentation</li></ul>

About ProcDNA: ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for We are seeking a Engagement Lead – Analytics to join our team. You are someone with a strong understanding of the pharmaceutical industry, in-depth knowledge of datasets such as LAAD, DDD, XPO, etc., and a passion for working with complex data to solve real-world business challenges. In this role, you will help clients drive performance, manage risk, and develop practical, data-driven strategies that deliver measurable impact. What you will do Leveraging data and emerging technologies: Build advanced analytics tools using Tableau, SAS, R, Alteryx, etc., to solve complex problems in healthcare and pharma. Driving strategic client partnerships: Act as a trusted advisor to client leadership, delivering innovative, high impact solutions that unlock growth for clients and ProcDNA. Structuring and modeling data: Analyze complex datasets, implement statistical models, and design BI tools to support data-driven decision-making. Leading and mentoring teams: Guide team leads, streamline recurring tasks, and ensure smooth execution and capability development. Building internal capabilities: Contribute to internal initiatives and ideate new offerings that enhance team and company growth beyond client work. Must Have 5–7 years of experience in healthcare/pharma consulting, with at least 3+ years in the U.S. market. Bachelor’s or Master’s degree in Engineering, with strong academic performance. Proven ability to manage multiple projects for various stakeholders with a focus on quality. Excellent communication skills—verbal, written, and collaborative—able to clearly articulate results and issues to internal and client teams. Strong problem-solving skills with the ability to work independently in a creative and analytical environment. Experience in areas such as IC, Ops, Design, Implementation, Goal Setting, Sales Crediting, Eligibility, Contests, Awards, Targeting, Call Planning, Sizing, Alignment, and Segmentation

[SSF] Engagement Lead - Analytics

About the Role We are seeking an experienced Marketing Mix Modeling (MMM) Analyst/Senior Analyst with a strong background in pharmaceutical and life sciences analytics. The ideal candidate will have hands-on experience in developing, interpreting, and delivering Marketing Mix Models for pharmaceutical clients and be comfortable working in a consulting environment. Key Responsibilities:<ul><li>Develop and execute Marketing Mix Models (MMM) for pharmaceutical/lifesciences brands in US.</li><li>Prepare and integrate sales, promotional, media, and market datasets for modeling.</li><li>Perform data transformations such as adstock, saturation, lag creation, normalization, and feature engineering.</li><li>Build, validate, and interpret regression-based MMM models.</li><li>Analyze marketing channel effectiveness, ROI, incremental sales, and promotional response.</li><li>Generate actionable recommendations for budget allocation and channel optimization.</li><li>Develop client-ready presentations and communicate insights to stakeholders.</li><li>Collaborate with consulting, data engineering, and commercial strategy teams throughout project delivery.</li></ul>Required Qualifications<ul><li>2&#8211;3 years of hands-on experience in Marketing Mix Modeling (MMM).</li><li>Mandatory experience in pharmaceutical and life sciences analytics, with exposure to commercial analytics and Marketing Mix Modeling engagements.</li></ul>Strong understanding of:<ul><li>Marketing Mix Modeling methodology</li><li>Regression modeling</li><li>Adstock and saturation techniques</li><li>ROI and contribution analysis</li><li>Model diagnostics and validation</li><li>Budget optimization, pathway modelling and synergy analysis</li><li>Experience working with HCP promotion, DTC media, digital marketing, and omnichannel promotional data.</li><li>Excellent analytical and problem-solving skills.</li></ul>Technical Skills<ul><li>Proficiency in Python.</li><li>Strong SQL skills.</li><li>Advanced Excel and PowerPoint.</li></ul>Experience with statistical techniques including:<ul><li>Linear Regression</li><li>Ridge/Lasso Regression</li><li>Bayesian Regression</li><li>Multicollinearity assessment</li><li>Time-series data preparation</li><li>Model validation</li></ul>Preferred Candidate Profile<ul><li>Experience delivering Marketing Mix Modelling projects for pharmaceutical clients.</li><li>Ability to independently execute end-to-end MMM engagements.</li><li>Strong communication, presentation, and stakeholder management skills.</li><li>Comfortable working in a fast-paced consulting environment.</li></ul>Location: Pune, India &#160;

About the Role We are seeking an experienced Marketing Mix Modeling (MMM) Analyst/Senior Analyst with a strong background in pharmaceutical and life sciences analytics. The ideal candidate will have hands-on experience in developing, interpreting, and delivering Marketing Mix Models for pharmaceutical clients and be comfortable working in a consulting environment. Key Responsibilities: Develop and execute Marketing Mix Models (MMM) for pharmaceutical/lifesciences brands in US. Prepare and integrate sales, promotional, media, and market datasets for modeling. Perform data transformations such as adstock, saturation, lag creation, normalization, and feature engineering. Build, validate, and interpret regression-based MMM models. Analyze marketing channel effectiveness, ROI, incremental sales, and promotional response. Generate actionable recommendations for budget allocation and channel optimization. Develop client-ready presentations and communicate insights to stakeholders. Collaborate with consulting, data engineering, and commercial strategy teams throughout project delivery. Required Qualifications 2–3 years of hands-on experience in Marketing Mix Modeling (MMM). Mandatory experience in pharmaceutical and life sciences analytics, with exposure to commercial analytics and Marketing Mix Modeling engagements. Strong understanding of: Marketing Mix Modeling methodology Regression modeling Adstock and saturation techniques ROI and contribution analysis Model diagnostics and validation Budget optimization, pathway modelling and synergy analysis Experience working with HCP promotion, DTC media, digital marketing, and omnichannel promotional data. Excellent analytical and problem-solving skills. Technical Skills Proficiency in Python. Strong SQL skills. Advanced Excel and PowerPoint. Experience with statistical techniques including: Linear Regression Ridge/Lasso Regression Bayesian Regression Multicollinearity assessment Time-series data preparation Model validation Preferred Candidate Profile Experience delivering Marketing Mix Modelling projects for pharmaceutical clients. Ability to independently execute end-to-end MMM engagements. Strong communication, presentation, and stakeholder management skills. Comfortable working in a fast-paced consulting environment. Location: Pune, India

[India] Senior Analyst - Marketing Mix Modeling

About ProcDNA ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge technology to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 470+ professionals across 9 offices, all growing and learning together since our launch during the pandemic. Here, you won't be confined to a cubicle - you'll be solving complex business challenges, collaborating with brilliant minds, and shaping the future of healthcare analytics. At ProcDNA, innovation isn't just encouraged - it's ingrained in our DNA. Ready to join our growth journey? Role Overview We are seeking a Marketing Mix Analytics Lead to drive measurement and optimization of marketing investments for global clients. This role focuses on Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) to quantify channel impact, evaluate ROI, and support data-driven budget allocation decisions. The ideal candidate will have strong expertise in MMM and MTA, with the ability to translate analytical outputs into clear, actionable business recommendations. While experience in the pharmaceutical/life sciences domain is preferred, candidates with relevant MMM experience from other industries are also encouraged to apply. Key Responsibilities<ul style="margin-bottom:11px;"><li style="margin-bottom:11px;">Lead end-to-end Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) engagements, from problem structuring to final recommendations. </li><li style="margin-bottom:11px;">Analyze multi-channel marketing data to quantify channel effectiveness, contribution, attribution, and ROI. </li><li style="margin-bottom:11px;">Apply statistical techniques such as regression modeling, adstock, saturation curves, and attribution methodologies. </li><li style="margin-bottom:11px;">Translate analytical outputs into actionable business insights and budget optimization strategies. </li><li style="margin-bottom:11px;">Develop client-facing presentations with clear storytelling and structured recommendations. </li><li style="margin-bottom:11px;">Collaborate with cross-functional teams to ensure high-quality delivery and alignment with business objectives. </li><li style="margin-bottom:11px;">Support the development of analytical tools and accelerator solutions for MMM, MTA, and reporting workflows. </li></ul>Required Qualifications<ul style="margin-bottom:11px;"><li style="margin-bottom:11px;">5-7 years of experience in Marketing Mix Modeling (MMM) and marketing analytics. </li><li style="margin-bottom:11px;">Hands-on experience in Multi-Touch Attribution (MTA) is mandatory. </li><li style="margin-bottom:11px;">Experience in commercial analytics, preferably within consulting or analytics organizations. </li><li style="margin-bottom:11px;">Pharma/Life Sciences experience is preferred but not mandatory. Candidates from other industries with strong MMM and MTA expertise will also be considered. </li><li style="margin-bottom:11px;">Strong foundation in regression, econometrics, statistical modeling, and marketing measurement techniques. </li><li style="margin-bottom:11px;">Proficiency in Python or R, along with SQL. </li><li style="margin-bottom:11px;">Experience working in client-facing roles. </li></ul>Good to Have<ul style="margin-bottom:11px;"><li style="margin-bottom:11px;">Experience with advanced MMM techniques such as Bayesian modeling, time-series modeling, and other advanced marketing measurement methodologies. </li><li style="margin-bottom:11px;">Exposure to GenAI-based Marketing Mix Analytics functionalities and AI-assisted analytics workflows. </li><li style="margin-bottom:11px;">Experience in developing analytical tools, accelerators, or internal products for marketing analytics use cases. </li><li style="margin-bottom:11px;">Familiarity with measurement frameworks such as Test &amp; Control, incrementality analysis, or causal inference. </li><li style="margin-bottom:11px;">Experience with modern data platforms such as Snowflake or Databricks, and visualization tools such as Power BI or Tableau. </li></ul>Key Competencies<ul style="margin-bottom:11px;"><li style="margin-bottom:11px;">Strong analytical and problem-solving skills. </li><li style="margin-bottom:11px;">Ability to translate complex analytical findings into clear business recommendations. </li><li style="margin-bottom:11px;">Excellent communication and stakeholder management skills. </li><li style="margin-bottom:11px;">High ownership, collaboration, and delivery focus. </li></ul>Preferred Background<ul style="margin-bottom:11px;"><li style="margin-bottom:11px;">Experience in consulting, analytics, or marketing effectiveness roles with hands-on exposure to MMM and MTA.&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160;&#160; </li><li style="margin-bottom:11px;">Experience in the pharmaceutical/life sciences industry is preferred but not mandatory. Candidates from other domains with strong marketing measurement expertise will also be considered.</li></ul>

About ProcDNA ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge technology to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 470+ professionals across 9 offices, all growing and learning together since our launch during the pandemic. Here, you won't be confined to a cubicle - you'll be solving complex business challenges, collaborating with brilliant minds, and shaping the future of healthcare analytics. At ProcDNA, innovation isn't just encouraged - it's ingrained in our DNA. Ready to join our growth journey? Role Overview We are seeking a Marketing Mix Analytics Lead to drive measurement and optimization of marketing investments for global clients. This role focuses on Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) to quantify channel impact, evaluate ROI, and support data-driven budget allocation decisions. The ideal candidate will have strong expertise in MMM and MTA, with the ability to translate analytical outputs into clear, actionable business recommendations. While experience in the pharmaceutical/life sciences domain is preferred, candidates with relevant MMM experience from other industries are also encouraged to apply. Key Responsibilities Lead end-to-end Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) engagements, from problem structuring to final recommendations. Analyze multi-channel marketing data to quantify channel effectiveness, contribution, attribution, and ROI. Apply statistical techniques such as regression modeling, adstock, saturation curves, and attribution methodologies. Translate analytical outputs into actionable business insights and budget optimization strategies. Develop client-facing presentations with clear storytelling and structured recommendations. Collaborate with cross-functional teams to ensure high-quality delivery and alignment with business objectives. Support the development of analytical tools and accelerator solutions for MMM, MTA, and reporting workflows. Required Qualifications 5-7 years of experience in Marketing Mix Modeling (MMM) and marketing analytics. Hands-on experience in Multi-Touch Attribution (MTA) is mandatory. Experience in commercial analytics, preferably within consulting or analytics organizations. Pharma/Life Sciences experience is preferred but not mandatory. Candidates from other industries with strong MMM and MTA expertise will also be considered. Strong foundation in regression, econometrics, statistical modeling, and marketing measurement techniques. Proficiency in Python or R, along with SQL. Experience working in client-facing roles. Good to Have Experience with advanced MMM techniques such as Bayesian modeling, time-series modeling, and other advanced marketing measurement methodologies. Exposure to GenAI-based Marketing Mix Analytics functionalities and AI-assisted analytics workflows. Experience in developing analytical tools, accelerators, or internal products for marketing analytics use cases. Familiarity with measurement frameworks such as Test & Control, incrementality analysis, or causal inference. Experience with modern data platforms such as Snowflake or Databricks, and visualization tools such as Power BI or Tableau. Key Competencies Strong analytical and problem-solving skills. Ability to translate complex analytical findings into clear business recommendations. Excellent communication and stakeholder management skills. High ownership, collaboration, and delivery focus. Preferred Background Experience in consulting, analytics, or marketing effectiveness roles with hands-on exposure to MMM and MTA. Experience in the pharmaceutical/life sciences industry is preferred but not mandatory. Candidates from other domains with strong marketing measurement expertise will also be considered.

[India]Engagement Lead - MMx | MTA

About ProcDNA: ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?. What are we looking for? We are seeking a Sr Engagement Lead - Technology to join our team. You are someone with a strong&#160; understanding of the pharmaceutical industry, in-depth knowledge of datasets like LAAD, DDD, XPO, and enjoying&#160;working with complex data sets to help clients solve real-world problems. You will play a key role in driving business&#160;performance, navigating risks, and developing pragmatic strategies through data-driven insights. Key Responsibilities:<ol><li>End-to-End Data Management Solutions:&#160;Lead end-to-end data management solution projects for multiple clients across data engineering&#160;and BI technologies. Ensure the timely delivery of projects by creating project management plans and ensuring&#160;adherence to timelines.</li><li>Data Integration and Visualization:&#160;Integrate multiple data sources into one comprehensive visualization to tell a compelling story. Collaborate with Data Platform leaders to understand data flows that integrate into&#160;Tableau/analytics.</li><li>Client Interaction and Analytics Solutions: Interact with customers to understand their business problems and deliver best-in-class analytics&#160;solutions. Engage with UX/UI global functions to design best-in-class visualizations for customers using all&#160;product capabilities.</li><li>Data Governance and Security: Understand data governance, quality, and security frameworks and ensure seamless integration of&#160;analytics with these enterprise platforms.</li><li>Cross-Functional Collaboration: Collaborate with various internal teams to ensure seamless integration and alignment between&#160;technical solutions and business goals.</li></ol>Must Have:<ul><li>8-10 years of experience in pharma technology consulting, with at least 6 years in the U.S.</li><li>Direct experience in client interactions, discussing requirements, and managing stakeholders.</li><li>Proven experience in requirement gathering and designing enterprise data warehouse solutions from scratch.</li><li>Hands-on experience with ETL tools like Azure Data Factory (ADF), Databricks, and Informatica.</li><li>Familiarity with data pipeline and workflow management tools such as Azkaban, Luigi, or Airflow.</li><li>Experience with data storage solutions, including SQL/NoSQL, Amazon Redshift, Snowflake, Apache&#160;Hive, and HDFS.</li><li>Expertise in BI tools and experience leading the implementation of dashboards, particularly with Tableau&#160;and Power BI.</li><li>Deep understanding of data governance and data quality management frameworks.</li><li>Strong communication and presentation skills.</li><li>Excellent problem-solving attitude with strong analytical and debugging skills.</li><li>Ability to quickly learn and understand business processes to develop effective technical solutions.</li></ul>

About ProcDNA: ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?. What are we looking for? We are seeking a Sr Engagement Lead - Technology to join our team. You are someone with a strong understanding of the pharmaceutical industry, in-depth knowledge of datasets like LAAD, DDD, XPO, and enjoying working with complex data sets to help clients solve real-world problems. You will play a key role in driving business performance, navigating risks, and developing pragmatic strategies through data-driven insights. Key Responsibilities: End-to-End Data Management Solutions: Lead end-to-end data management solution projects for multiple clients across data engineering and BI technologies. Ensure the timely delivery of projects by creating project management plans and ensuring adherence to timelines. Data Integration and Visualization: Integrate multiple data sources into one comprehensive visualization to tell a compelling story. Collaborate with Data Platform leaders to understand data flows that integrate into Tableau/analytics. Client Interaction and Analytics Solutions: Interact with customers to understand their business problems and deliver best-in-class analytics solutions. Engage with UX/UI global functions to design best-in-class visualizations for customers using all product capabilities. Data Governance and Security: Understand data governance, quality, and security frameworks and ensure seamless integration of analytics with these enterprise platforms. Cross-Functional Collaboration: Collaborate with various internal teams to ensure seamless integration and alignment between technical solutions and business goals. Must Have: 8-10 years of experience in pharma technology consulting, with at least 6 years in the U.S. Direct experience in client interactions, discussing requirements, and managing stakeholders. Proven experience in requirement gathering and designing enterprise data warehouse solutions from scratch. Hands-on experience with ETL tools like Azure Data Factory (ADF), Databricks, and Informatica. Familiarity with data pipeline and workflow management tools such as Azkaban, Luigi, or Airflow. Experience with data storage solutions, including SQL/NoSQL, Amazon Redshift, Snowflake, Apache Hive, and HDFS. Expertise in BI tools and experience leading the implementation of dashboards, particularly with Tableau and Power BI. Deep understanding of data governance and data quality management frameworks. Strong communication and presentation skills. Excellent problem-solving attitude with strong analytical and debugging skills. Ability to quickly learn and understand business processes to develop effective technical solutions.

[BOS] Sr. Engagement Lead - Technology

About ProcDNA: ProcDNA&#160;is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?&#160;&#8203; What we are looking for We are seeking a Director &#8211; Commercial Technology&#160;who plays a critical leadership role in shaping and delivering Commercial Technology transformation for pharma, biotech, and MedTech clients. This role blends hands-on program leadership with strategic advisory responsibilities, helping clients modernize their commercial ecosystems and execute omnichannel activation at scale. The Director leads key engagements, manages senior client relationships, and ensures the successful delivery of high-quality commercial technology programs.&#8203; What you&#8217;ll do&#8203;<ul style="margin-bottom:11px;"><li style="margin-bottom:11px;">Lead major workstreams within commercial transformation programs, including omnichannel acceleration, CRM modernization, data-driven targeting, and digital execution readiness.&#8203;</li><li style="margin-bottom:11px;">Translate client business goals into actionable commercial technology roadmaps, spanning Veeva, Salesforce, Adobe, OCE, CDP, DAM, and broader&#160;Mar Tech&#160;ecosystems.&#8203;</li><li style="margin-bottom:11px;">Manage day-to-day delivery for large omnichannel and CRM engagements, including platform redesign, NBA deployments, marketing automation enhancements, modular content operations, and consent/identity management.&#8203;</li><li style="margin-bottom:11px;">Drive commercial analytics and insight generation, partnering with data teams to define KPIs, implement measurement frameworks (MMx, MTA), and operationalize ROI tracking.&#8203;</li><li style="margin-bottom:11px;">Develop high-quality deliverables, including diagnostic assessments, capability maturity analyses, solution architectures, and implementation plan for commercial systems.&#8203;</li><li style="margin-bottom:11px;">Engage senior client stakeholders (Directors, Sr. Directors, VPs) to define requirements, align priorities, and ensure program success.&#8203;</li><li style="margin-bottom:11px;">Support sales pursuits by contributing to proposals, demos, SOW development, effort estimation, and solution design.&#8203;</li><li style="margin-bottom:11px;">Create and refine internal IP, including frameworks, accelerators, templates, and domain-specific methodologies.&#8203;</li><li style="margin-bottom:11px;">Oversee project financials at the engagement level, including budget tracking, forecasting, resourcing, and margin management.&#8203;</li><li style="margin-bottom:11px;">Coach and develop Engagement leads and Analysts, fostering capability building across omnichannel, CRM, data, and marketing technology disciplines.&#8203;</li><li style="margin-bottom:11px;">Collaborate across global teams to scale best practices and support multi-region delivery models.&#8203;</li><li style="margin-bottom:11px;">Ensure operational excellence across delivery risk management, QA reviews, stakeholder communication, and change management.&#8203;</li></ul>Must Have<ul style="margin-bottom:11px;"><li style="margin-bottom:11px;">10&#8211;14 years of work experience in life sciences consulting, commercial technology, digital transformation, or related domains.&#8203;</li><li style="margin-bottom:11px;">Advanced degree preferred (MBA or Master&#8217;s in a relevant field).&#8203;</li><li style="margin-bottom:11px;">Strong experience leading cross-functional teams across strategy, technology, and analytics.&#8203;</li><li style="margin-bottom:11px;">Demonstrated ability to design and execute solutions for complex commercial and omnichannel challenges.&#8203;</li><li style="margin-bottom:11px;">Hands-on expertise in at least two of the following areas:&#8203; &#8211; Omnichannel strategy &amp; commercial data governance&#8203; &#8211; Omnichannel data infrastructure (data warehouse, CDP, identity, consent, clean rooms)&#8203; &#8211; Content operations &amp; enablement (modular content, MLR workflow optimization)&#8203; &#8211; Omnichannel orchestration (NBA, digital targeting, personalization)&#8203; &#8211; Marketing automation platforms (HubSpot, Salesforce, Veeva, Adobe)&#8203; &#8211; Measurement &amp; analytics (MMx, MTA, channel performance dashboards)&#8203;</li><li style="margin-bottom:11px;">Excellent communication, storytelling, and stakeholder management skills; able to clearly articulate complex commercial tech topics.&#8203;</li><li style="margin-bottom:11px;">Experience with life sciences commercial models, including brand marketing, field force enablement, access/payer considerations, and digital engagement.&#8203;</li><li style="margin-bottom:11px;">Track record of active business development and contributing to account and practice area growth.&#8203;</li><li style="margin-bottom:11px;">Ability to work collaboratively in a fast-paced, global, cross-functional team environment.&#8203;</li><li style="margin-bottom:11px;">Willingness to travel to support client delivery and internal initiatives.</li></ul>

About ProcDNA: ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? ​ What we are looking for We are seeking a Director – Commercial Technology who plays a critical leadership role in shaping and delivering Commercial Technology transformation for pharma, biotech, and MedTech clients. This role blends hands-on program leadership with strategic advisory responsibilities, helping clients modernize their commercial ecosystems and execute omnichannel activation at scale. The Director leads key engagements, manages senior client relationships, and ensures the successful delivery of high-quality commercial technology programs. ​ What you’ll do ​ Lead major workstreams within commercial transformation programs, including omnichannel acceleration, CRM modernization, data-driven targeting, and digital execution readiness. ​ Translate client business goals into actionable commercial technology roadmaps, spanning Veeva, Salesforce, Adobe, OCE, CDP, DAM, and broader Mar Tech ecosystems. ​ Manage day-to-day delivery for large omnichannel and CRM engagements, including platform redesign, NBA deployments, marketing automation enhancements, modular content operations, and consent/identity management. ​ Drive commercial analytics and insight generation, partnering with data teams to define KPIs, implement measurement frameworks (MMx, MTA), and operationalize ROI tracking. ​ Develop high-quality deliverables, including diagnostic assessments, capability maturity analyses, solution architectures, and implementation plan for commercial systems. ​ Engage senior client stakeholders (Directors, Sr. Directors, VPs) to define requirements, align priorities, and ensure program success. ​ Support sales pursuits by contributing to proposals, demos, SOW development, effort estimation, and solution design. ​ Create and refine internal IP, including frameworks, accelerators, templates, and domain-specific methodologies. ​ Oversee project financials at the engagement level, including budget tracking, forecasting, resourcing, and margin management. ​ Coach and develop Engagement leads and Analysts, fostering capability building across omnichannel, CRM, data, and marketing technology disciplines. ​ Collaborate across global teams to scale best practices and support multi-region delivery models. ​ Ensure operational excellence across delivery risk management, QA reviews, stakeholder communication, and change management. ​ Must Have 10–14 years of work experience in life sciences consulting, commercial technology, digital transformation, or related domains. ​ Advanced degree preferred (MBA or Master’s in a relevant field). ​ Strong experience leading cross-functional teams across strategy, technology, and analytics. ​ Demonstrated ability to design and execute solutions for complex commercial and omnichannel challenges. ​ Hands-on expertise in at least two of the following areas: ​ – Omnichannel strategy & commercial data governance ​ – Omnichannel data infrastructure (data warehouse, CDP, identity, consent, clean rooms) ​ – Content operations & enablement (modular content, MLR workflow optimization) ​ – Omnichannel orchestration (NBA, digital targeting, personalization) ​ – Marketing automation platforms (HubSpot, Salesforce, Veeva, Adobe) ​ – Measurement & analytics (MMx, MTA, channel performance dashboards) ​ Excellent communication, storytelling, and stakeholder management skills; able to clearly articulate complex commercial tech topics. ​ Experience with life sciences commercial models, including brand marketing, field force enablement, access/payer considerations, and digital engagement. ​ Track record of active business development and contributing to account and practice area growth. ​ Ability to work collaboratively in a fast-paced, global, cross-functional team environment. ​ Willingness to travel to support client delivery and internal initiatives .

[CHI] Director/ED/Partner - Technology

About ProcDNA: ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for&#160; We are seeking a Senior Leader&#160;&#8211; Commercial Technology who plays a critical leadership role in shaping and delivering Commercial Technology transformation for pharma, biotech, and MedTech clients. This role blends hands-on program leadership with strategic advisory responsibilities, helping clients modernize their commercial ecosystems and execute omnichannel activation at scale. The Director leads key engagements, manages senior client relationships, and ensures the successful delivery of high-quality commercial technology programs. What you will do&#160;<ul><li>Lead major workstreams within commercial transformation programs, including omnichannel acceleration, CRM modernization, data-driven targeting, and digital execution readiness.</li><li>Translate client business goals into actionable commercial technology roadmaps, spanning Veeva, Salesforce, Adobe, OCE, CDP, DAM, and broader MarTech ecosystems.</li><li>Manage day-to-day delivery for large omnichannel and CRM engagements, including platform redesign, NBA deployments, marketing automation enhancements, modular content operations, and consent/identity management.</li><li>Drive commercial analytics and insight generation, partnering with data teams to define KPIs, implement measurement frameworks (MMx, MTA), and operationalize ROI tracking.</li><li>Develop high-quality deliverables, including diagnostic assessments, capability maturity analyses, solution architectures, and implementation plans for commercial systems.</li><li>Engage senior client stakeholders (Directors, Sr. Directors, VPs) to define requirements, align on priorities, and ensure program success.</li><li>Support sales pursuits by contributing to proposals, demos, SOW development, effort estimation, and solution design.</li><li>Create and refine internal IP, including frameworks, accelerators, templates, and domain-specific methodologies.</li><li>Oversee project financials at the engagement level, including budget tracking, forecasting, resourcing, and margin management.</li><li>Coach and develop Engagement leads and Analysts, fostering capability building across omnichannel, CRM, data, and marketing technology disciplines.</li><li>Collaborate across global teams to scale best practices and support multi-region delivery models.</li><li>Ensure operational excellence across delivery risk management, QA reviews, stakeholder communication, and change management.</li></ul>Must Have<ul><li>12&#8211;20&#160;years of work experience in life sciences consulting, commercial technology, digital transformation, or related domains.</li><li>Advanced degree preferred (MBA or Master&#8217;s in a relevant field).</li><li>Strong experience leading cross-functional teams across strategy, technology, and analytics.</li><li>&#160;Demonstrated ability to design and execute solutions for complex commercial and omnichannel challenges.</li><li>Hands-on expertise in at least two of the following areas</li><li>Omnichannel strategy &amp; commercial data governance</li><li>Omnichannel data infrastructure (data warehouse, CDP, identity, consent, clean rooms)</li><li>Content operations &amp; enablement (modular content, MLR workflow optimization)</li><li>Omnichannel orchestration (NBA, digital targeting, personalization)</li><li>Marketing automation platforms (HubSpot, Salesforce, Veeva, Adobe)</li><li>Measurement &amp; analytics (MMx, MTA, channel performance dashboards)</li><li>Excellent communication, storytelling, and stakeholder management skills; able to clearly articulate complex commercial tech topics.</li><li>Experience with life sciences commercial models, including brand marketing, field force enablement, access/payer considerations, and digital engagement.</li><li>Track record of active business development and contributing to account and practice area growth.</li><li>Ability to work collaboratively in a fast-paced, global, cross-functional team environment.</li><li>&#160;Willingness to travel to support client delivery and internal initiatives</li></ul>

About ProcDNA: ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for We are seeking a Senior Leader – Commercial Technology who plays a critical leadership role in shaping and delivering Commercial Technology transformation for pharma, biotech, and MedTech clients. This role blends hands-on program leadership with strategic advisory responsibilities, helping clients modernize their commercial ecosystems and execute omnichannel activation at scale. The Director leads key engagements, manages senior client relationships, and ensures the successful delivery of high-quality commercial technology programs. What you will do Lead major workstreams within commercial transformation programs, including omnichannel acceleration, CRM modernization, data-driven targeting, and digital execution readiness. Translate client business goals into actionable commercial technology roadmaps, spanning Veeva, Salesforce, Adobe, OCE, CDP, DAM, and broader MarTech ecosystems. Manage day-to-day delivery for large omnichannel and CRM engagements, including platform redesign, NBA deployments, marketing automation enhancements, modular content operations, and consent/identity management. Drive commercial analytics and insight generation, partnering with data teams to define KPIs, implement measurement frameworks (MMx, MTA), and operationalize ROI tracking. Develop high-quality deliverables, including diagnostic assessments, capability maturity analyses, solution architectures, and implementation plans for commercial systems. Engage senior client stakeholders (Directors, Sr. Directors, VPs) to define requirements, align on priorities, and ensure program success. Support sales pursuits by contributing to proposals, demos, SOW development, effort estimation, and solution design. Create and refine internal IP, including frameworks, accelerators, templates, and domain-specific methodologies. Oversee project financials at the engagement level, including budget tracking, forecasting, resourcing, and margin management. Coach and develop Engagement leads and Analysts, fostering capability building across omnichannel, CRM, data, and marketing technology disciplines. Collaborate across global teams to scale best practices and support multi-region delivery models. Ensure operational excellence across delivery risk management, QA reviews, stakeholder communication, and change management. Must Have 12–20 years of work experience in life sciences consulting, commercial technology, digital transformation, or related domains. Advanced degree preferred (MBA or Master’s in a relevant field). Strong experience leading cross-functional teams across strategy, technology, and analytics. Demonstrated ability to design and execute solutions for complex commercial and omnichannel challenges. Hands-on expertise in at least two of the following areas Omnichannel strategy & commercial data governance Omnichannel data infrastructure (data warehouse, CDP, identity, consent, clean rooms) Content operations & enablement (modular content, MLR workflow optimization) Omnichannel orchestration (NBA, digital targeting, personalization) Marketing automation platforms (HubSpot, Salesforce, Veeva, Adobe) Measurement & analytics (MMx, MTA, channel performance dashboards) Excellent communication, storytelling, and stakeholder management skills; able to clearly articulate complex commercial tech topics. Experience with life sciences commercial models, including brand marketing, field force enablement, access/payer considerations, and digital engagement. Track record of active business development and contributing to account and practice area growth. Ability to work collaboratively in a fast-paced, global, cross-functional team environment. Willingness to travel to support client delivery and internal initiatives

[SSF] Executive Director/Partner- Technology

About ProcDNA: ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for We are seeking a Director - Analytics to join our team. You bring a deep understanding of the pharmaceutical industry, along with detailed expertise in datasets such as LAAD, DDD, XPO, and more. You thrive on working with complex data sets to help clients solve real-world challenges, drive business performance, manage risks, and develop practical strategies through data-driven insights What you will do<ul><li>Own end-to-end delivery across multiple workstreams while fostering strong relationships with client leadership and acting as a strategic advisor.</li><li>Design and implement advanced analytics and business intelligence tools (e.g., Tableau, SAS, R, Alteryx) to support data-driven decision-making in the healthcare and pharma sectors.</li><li>Leverage emerging technologies and pharma data expertise to solve complex business problems, model data structures, and continuously optimize analytical solutions.</li><li>Guide and mentor team leads, promoting best practices in analytics, quality delivery, automation, and client communication.</li><li>Proactively identify and develop new business opportunities and internal offerings to support organizational growth beyond client projects</li></ul>Must Have<ul><li>10+ years of relevant experience in healthcare/pharma consulting, with at least 8+ years focused on the U.S. market.</li><li>Proven ability to manage multiple concurrent projects for various stakeholders with a focus on quality.</li><li>Excellent communication skills&#8212;strong verbal, written, and collaboration abilities to articulate results and issues to senior leadership and client teams.</li><li>Creative and analytical problem-solving skills with the ability to work independently with minimal direction.</li><li>Experience in key areas of sales, commercial, and marketing operations, including expertise in Salesforce Sizing, Marketing Mix, IC &amp; Call Plan design, Go-to-market strategy, Segmentation, etc., is preferred.</li></ul>

About ProcDNA: ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for We are seeking a Director - Analytics to join our team. You bring a deep understanding of the pharmaceutical industry, along with detailed expertise in datasets such as LAAD, DDD, XPO, and more. You thrive on working with complex data sets to help clients solve real-world challenges, drive business performance, manage risks, and develop practical strategies through data-driven insights What you will do Own end-to-end delivery across multiple workstreams while fostering strong relationships with client leadership and acting as a strategic advisor. Design and implement advanced analytics and business intelligence tools (e.g., Tableau, SAS, R, Alteryx) to support data-driven decision-making in the healthcare and pharma sectors. Leverage emerging technologies and pharma data expertise to solve complex business problems, model data structures, and continuously optimize analytical solutions. Guide and mentor team leads, promoting best practices in analytics, quality delivery, automation, and client communication. Proactively identify and develop new business opportunities and internal offerings to support organizational growth beyond client projects Must Have 10+ years of relevant experience in healthcare/pharma consulting, with at least 8+ years focused on the U.S. market. Proven ability to manage multiple concurrent projects for various stakeholders with a focus on quality. Excellent communication skills—strong verbal, written, and collaboration abilities to articulate results and issues to senior leadership and client teams. Creative and analytical problem-solving skills with the ability to work independently with minimal direction. Experience in key areas of sales, commercial, and marketing operations, including expertise in Salesforce Sizing, Marketing Mix, IC & Call Plan design, Go-to-market strategy, Segmentation, etc., is preferred.

[New Jersey] Partner/ Director - Analytics

About ProcDNA: ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for&#160; We are seeking a Director &#8211; Commercial Technology who plays a critical leadership role in shaping and delivering Commercial Technology transformation for pharma, biotech, and MedTech clients. This role blends hands-on program leadership with strategic advisory responsibilities, helping clients modernize their commercial ecosystems and execute omnichannel activation at scale. The Director leads key engagements, manages senior client relationships, and ensures the successful delivery of high-quality commercial technology programs. What you will do&#160;<ul><li>Lead major workstreams within commercial transformation programs, including omnichannel acceleration, CRM modernization, data-driven targeting, and digital execution readiness.</li><li>Translate client business goals into actionable commercial technology roadmaps, spanning Veeva, Salesforce, Adobe, OCE, CDP, DAM, and broader MarTech ecosystems.</li><li>Manage day-to-day delivery for large omnichannel and CRM engagements, including platform redesign, NBA deployments, marketing automation enhancements, modular content operations, and consent/identity management.</li><li>Drive commercial analytics and insight generation, partnering with data teams to define KPIs, implement measurement frameworks (MMx, MTA), and operationalize ROI tracking.</li><li>Develop high-quality deliverables, including diagnostic assessments, capability maturity analyses, solution architectures, and implementation plans for commercial systems.</li><li>Engage senior client stakeholders (Directors, Sr. Directors, VPs) to define requirements, align on priorities, and ensure program success.</li><li>Support sales pursuits by contributing to proposals, demos, SOW development, effort estimation, and solution design.</li><li>Create and refine internal IP, including frameworks, accelerators, templates, and domain-specific methodologies.</li><li>Oversee project financials at the engagement level, including budget tracking, forecasting, resourcing, and margin management.</li><li>Coach and develop Engagement leads and Analysts, fostering capability building across omnichannel, CRM, data, and marketing technology disciplines.</li><li>Collaborate across global teams to scale best practices and support multi-region delivery models.</li><li>Ensure operational excellence across delivery risk management, QA reviews, stakeholder communication, and change management.</li></ul>Must Have<ul><li>10&#8211;14 years of work experience in life sciences consulting, commercial technology, digital transformation, or related domains.</li><li>Advanced degree preferred (MBA or Master&#8217;s in a relevant field).</li><li>Strong experience leading cross-functional teams across strategy, technology, and analytics.</li><li>&#160;Demonstrated ability to design and execute solutions for complex commercial and omnichannel challenges.</li><li>Hands-on expertise in at least two of the following areas</li><li>Omnichannel strategy &amp; commercial data governance</li><li>Omnichannel data infrastructure (data warehouse, CDP, identity, consent, clean rooms)</li><li>Content operations &amp; enablement (modular content, MLR workflow optimization)</li><li>Omnichannel orchestration (NBA, digital targeting, personalization)</li><li>Marketing automation platforms (HubSpot, Salesforce, Veeva, Adobe)</li><li>Measurement &amp; analytics (MMx, MTA, channel performance dashboards)</li><li>Excellent communication, storytelling, and stakeholder management skills; able to clearly articulate complex commercial tech topics.</li><li>Experience with life sciences commercial models, including brand marketing, field force enablement, access/payer considerations, and digital engagement.</li><li>Track record of active business development and contributing to account and practice area growth.</li><li>Ability to work collaboratively in a fast-paced, global, cross-functional team environment.</li><li>&#160;Willingness to travel to support client delivery and internal initiatives</li></ul>

About ProcDNA: ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for We are seeking a Director – Commercial Technology who plays a critical leadership role in shaping and delivering Commercial Technology transformation for pharma, biotech, and MedTech clients. This role blends hands-on program leadership with strategic advisory responsibilities, helping clients modernize their commercial ecosystems and execute omnichannel activation at scale. The Director leads key engagements, manages senior client relationships, and ensures the successful delivery of high-quality commercial technology programs. What you will do Lead major workstreams within commercial transformation programs, including omnichannel acceleration, CRM modernization, data-driven targeting, and digital execution readiness. Translate client business goals into actionable commercial technology roadmaps, spanning Veeva, Salesforce, Adobe, OCE, CDP, DAM, and broader MarTech ecosystems. Manage day-to-day delivery for large omnichannel and CRM engagements, including platform redesign, NBA deployments, marketing automation enhancements, modular content operations, and consent/identity management. Drive commercial analytics and insight generation, partnering with data teams to define KPIs, implement measurement frameworks (MMx, MTA), and operationalize ROI tracking. Develop high-quality deliverables, including diagnostic assessments, capability maturity analyses, solution architectures, and implementation plans for commercial systems. Engage senior client stakeholders (Directors, Sr. Directors, VPs) to define requirements, align on priorities, and ensure program success. Support sales pursuits by contributing to proposals, demos, SOW development, effort estimation, and solution design. Create and refine internal IP, including frameworks, accelerators, templates, and domain-specific methodologies. Oversee project financials at the engagement level, including budget tracking, forecasting, resourcing, and margin management. Coach and develop Engagement leads and Analysts, fostering capability building across omnichannel, CRM, data, and marketing technology disciplines. Collaborate across global teams to scale best practices and support multi-region delivery models. Ensure operational excellence across delivery risk management, QA reviews, stakeholder communication, and change management. Must Have 10–14 years of work experience in life sciences consulting, commercial technology, digital transformation, or related domains. Advanced degree preferred (MBA or Master’s in a relevant field). Strong experience leading cross-functional teams across strategy, technology, and analytics. Demonstrated ability to design and execute solutions for complex commercial and omnichannel challenges. Hands-on expertise in at least two of the following areas Omnichannel strategy & commercial data governance Omnichannel data infrastructure (data warehouse, CDP, identity, consent, clean rooms) Content operations & enablement (modular content, MLR workflow optimization) Omnichannel orchestration (NBA, digital targeting, personalization) Marketing automation platforms (HubSpot, Salesforce, Veeva, Adobe) Measurement & analytics (MMx, MTA, channel performance dashboards) Excellent communication, storytelling, and stakeholder management skills; able to clearly articulate complex commercial tech topics. Experience with life sciences commercial models, including brand marketing, field force enablement, access/payer considerations, and digital engagement. Track record of active business development and contributing to account and practice area growth. Ability to work collaboratively in a fast-paced, global, cross-functional team environment. Willingness to travel to support client delivery and internal initiatives

[PRI] Director/ED/Partner- Technology

About ProcDNA ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 425+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for Are you passionate about uncovering insights from patient-level data to shape better outcomes in life&#160; sciences? At ProcDNA, we&#8217;re growing our Patient Analytics Team and are looking for a Senior Analyst with 1.5 - 2.5 years of hands-on experience in patient journey analytics within the&#160;pharma space What you'll do<ul><li>Lead client discussions and deliver custom&#160;analytics solutions around patient journey&#160;mapping, treatment progression, and behavior&#160;segmentation.</li><li>Develop and validate patient-level datasets by&#160;integrating claims, EMR, and specialty&#160;pharmacy data</li><li>Translate complex data into actionable insights&#160;to support brand, access, and medical&#160;strategies</li><li>Collaborate with cross-functional teams,&#160;including commercial, market access, and&#160;field operations</li><li>Contribute to building internal accelerators for&#160;cohort identification, line-of-therapy analytics,&#160;and patient journey visualization</li></ul>Must Haves:<ul><li>1.5&#8211;2.5 years of experience in patient-level&#160;analytics across indications, brands, or life&#160;cycle stages</li><li>Strong analytical and SQL skills; experience&#160;with Python is a plus.</li><li>Proficiency in Excel and PowerPoint with a&#160;strong ability to create and present clear, datadriven narratives</li><li>Experience working with longitudinal data&#160;sources (e.g., claims, EMR, SP Hub)</li><li>Strong communication skills with the ability to&#160;distill complex data into strategic insights</li><li>Comfort working with global teams and clients&#160;in a fast-paced, evolving environment</li></ul>

About ProcDNA ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 425+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for Are you passionate about uncovering insights from patient-level data to shape better outcomes in life sciences? At ProcDNA, we’re growing our Patient Analytics Team and are looking for a Senior Analyst with 1.5 - 2.5 years of hands-on experience in patient journey analytics within the pharma space What you'll do Lead client discussions and deliver custom analytics solutions around patient journey mapping, treatment progression, and behavior segmentation. Develop and validate patient-level datasets by integrating claims, EMR, and specialty pharmacy data Translate complex data into actionable insights to support brand, access, and medical strategies Collaborate with cross-functional teams, including commercial, market access, and field operations Contribute to building internal accelerators for cohort identification, line-of-therapy analytics, and patient journey visualization Must Haves: 1.5–2.5 years of experience in patient-level analytics across indications, brands, or life cycle stages Strong analytical and SQL skills; experience with Python is a plus. Proficiency in Excel and PowerPoint with a strong ability to create and present clear, datadriven narratives Experience working with longitudinal data sources (e.g., claims, EMR, SP Hub) Strong communication skills with the ability to distill complex data into strategic insights Comfort working with global teams and clients in a fast-paced, evolving environment

[India] Senior Analyst - Patient Analytics

About ProcDNA ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle -&#160; you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. Ready to join our epic growth journey?Role OverviewWe are seeking a Marketing Mix Analytics Lead to drive measurement and optimization of marketing investments for pharmaceutical clients. This role focuses on Marketing Mix Modelling (MMM) to quantify channel impact, evaluate ROI, and support data-driven budget allocation decisions. The ideal candidate brings strong experience in MMM within the pharma domain, along with the ability to translate analytical outputs into clear, actionable business insights.Key Responsibilities<ul><li>Lead end-to-end Marketing Mix Modeling (MMM) engagements, from problem structuring to final recommendations</li><li>Analyze multi-channel marketing data to quantify channel effectiveness, contribution, and ROI</li><li>Apply statistical techniques such as regression modeling, adstock, and saturation curves</li><li>Translate model outputs into business insights and budget optimization strategies</li><li>Develop client-facing presentations with clear storytelling and structured recommendations</li><li>Collaborate with cross-functional teams to ensure high-quality delivery and alignment with business objectives</li><li>Support development of lightweight analytical tools and solutions for MMM and reporting workflows</li></ul>Required Qualifications<ul><li>3.5 - 5 years of experience in Marketing Mix Modeling and marketing analytics</li><li>Hands-on experience in pharma commercial analytics</li><li>Strong foundation in regression, econometrics, or statistical modeling</li><li>Proficiency in Python or R and SQL</li><li>Experience in client-facing roles, preferably within consulting or analytics organizations</li></ul>Preferred Qualifications<ul><li>Experience with advanced MMM techniques (e.g., Bayesian methods, time-series modeling)</li><li>Exposure to measurement frameworks such as Test &amp; Control or incrementality analysis</li><li>Familiarity with data platforms (e.g., Snowflake, Databricks) and visualization tools (e.g., Power BI, Tableau)</li><li>Experience building lightweight analytical tools or applications</li></ul>Key Competencies<ul><li>Strong analytical and problem-solving skills</li><li>Ability to translate complex analysis into clear business recommendations</li><li>Effective communication and stakeholder management</li><li>High ownership and delivery focus</li></ul>Preferred Background<ul><li>Candidates with experience in pharma consulting or analytics firms are strongly preferred</li></ul>

About ProcDNA ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. Ready to join our epic growth journey? Role Overview We are seeking a Marketing Mix Analytics Lead to drive measurement and optimization of marketing investments for pharmaceutical clients. This role focuses on Marketing Mix Modelling (MMM) to quantify channel impact, evaluate ROI, and support data-driven budget allocation decisions. The ideal candidate brings strong experience in MMM within the pharma domain, along with the ability to translate analytical outputs into clear, actionable business insights. Key Responsibilities Lead end-to-end Marketing Mix Modeling (MMM) engagements, from problem structuring to final recommendations Analyze multi-channel marketing data to quantify channel effectiveness, contribution, and ROI Apply statistical techniques such as regression modeling, adstock, and saturation curves Translate model outputs into business insights and budget optimization strategies Develop client-facing presentations with clear storytelling and structured recommendations Collaborate with cross-functional teams to ensure high-quality delivery and alignment with business objectives Support development of lightweight analytical tools and solutions for MMM and reporting workflows Required Qualifications 3.5 - 5 years of experience in Marketing Mix Modeling and marketing analytics Hands-on experience in pharma commercial analytics Strong foundation in regression, econometrics, or statistical modeling Proficiency in Python or R and SQL Experience in client-facing roles, preferably within consulting or analytics organizations Preferred Qualifications Experience with advanced MMM techniques (e.g., Bayesian methods, time-series modeling) Exposure to measurement frameworks such as Test & Control or incrementality analysis Familiarity with data platforms (e.g., Snowflake, Databricks) and visualization tools (e.g., Power BI, Tableau) Experience building lightweight analytical tools or applications Key Competencies Strong analytical and problem-solving skills Ability to translate complex analysis into clear business recommendations Effective communication and stakeholder management High ownership and delivery focus Preferred Background Candidates with experience in pharma consulting or analytics firms are strongly preferred

[India] Associate Engagement Lead - Marketing Mix

Position: Sr. Analyst Analytical Toolkit: Microsoft Excel, PowerPoint(SQL, Python, R or BI tool knowledge preferred) Location: GurugramAbout ProcDNA ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged,it's ingrained in our DNA.What we are looking for As the Sr. Analyst, you&#8217;ll leverage data to unravel complexities, adept at devising strategic solutions that deliver tangible results for our clients. We are seeking an individual who not only possesses the requisite expertise but also thrives in the dynamic landscape of a fast-paced global firm.What you&#8217;ll do &#9642;&#160;Seeking an individual experienced in leveraging emerging technologies and best practices to address healthcare/pharma industry challenges. &#9642;&#160;Collaborate with clients to model data and solve complex business issues. &#9642;&#160;Analyze to aid strategic decision-making, utilizing tools like Tableau, SAS, R, and Alteryx. &#9642;&#160;Develop tailored healthcare analytics solutions to improve patient outcomes and cost management. &#9642;&#160;Gain a comprehensive understanding of data and processes to deliver impactful outcomes.Must have &#9642;&#160;Candidates with a Bachelor's degree in Engineering and 1.5+ years of strong analytics experience. &#9642;&#160;Individuals with experience in statistical analysis, predictive modeling, Go-to-market strategy, segmentation, and analyzing large datasets to derive insights and make data-driven decisions. &#9642;&#160;Ability to work on and manage multiple projects for multiple stakeholders, with a quality mindset &#9642;&#160;Able to understand, identify, and recommend reporting needs and improvements. &#9642;&#160;Deep understanding of their Industry, including market trends, regulatory frameworks, and competitive landscapes &#9642;&#160;Excellent verbal and written communication skills, essential for effective collaboration. &#9642;&#160;Proven ability to work creatively and analytically with minimal direction.

Position: Sr. Analyst Analytical Toolkit: Microsoft Excel, PowerPoint(SQL, Python, R or BI tool knowledge preferred) Location: Gurugram About ProcDNA ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged,it's ingrained in our DNA. What we are looking for As the Sr. Analyst, you’ll leverage data to unravel complexities, adept at devising strategic solutions that deliver tangible results for our clients. We are seeking an individual who not only possesses the requisite expertise but also thrives in the dynamic landscape of a fast-paced global firm. What you’ll do ▪ Seeking an individual experienced in leveraging emerging technologies and best practices to address healthcare/pharma industry challenges. ▪ Collaborate with clients to model data and solve complex business issues. ▪ Analyze to aid strategic decision-making, utilizing tools like Tableau, SAS, R, and Alteryx. ▪ Develop tailored healthcare analytics solutions to improve patient outcomes and cost management. ▪ Gain a comprehensive understanding of data and processes to deliver impactful outcomes. Must have ▪ Candidates with a Bachelor's degree in Engineering and 1.5+ years of strong analytics experience. ▪ Individuals with experience in statistical analysis, predictive modeling, Go-to-market strategy, segmentation, and analyzing large datasets to derive insights and make data-driven decisions. ▪ Ability to work on and manage multiple projects for multiple stakeholders, with a quality mindset ▪ Able to understand, identify, and recommend reporting needs and improvements. ▪ Deep understanding of their Industry, including market trends, regulatory frameworks, and competitive landscapes ▪ Excellent verbal and written communication skills, essential for effective collaboration. ▪ Proven ability to work creatively and analytically with minimal direction.

[India] Senior Analyst

About ProcDNA: ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for We are seeking a highly skilled Associate Engagement Lead &#8211; Technology with a strong understanding of the pharmaceutical industry and hands-on experience working with complex datasets (e.g., LAAD, DDD, XPO). In this role, you will deliver data-driven insights to solve real-world business problems, enhance performance, and manage risk. You will also lead transformation initiatives, including software modernization and cloud infrastructure migration projects. What you will do<ul><li>Lead cloud transformation initiatives by assessing client IT landscapes, building business cases, and executing software modernization and infrastructure migrations across AWS, Azure, and GCP.</li><li>Drive end-to-end project delivery, managing cross functional teams and overseeing all phases from planning to execution with a focus on scalability and impact.</li><li>Design and implement secure, compliant cloud solutions, staying ahead of emerging technologies and aligning architectures with industry best practices.</li><li>Translate business requirements into technical strategies, delivering actionable solutions that address real-world challenges and maximize business value.</li><li>Build and maintain strong client partnerships, ensuring high-quality service delivery while aligning solutions with strategic goals.</li></ul>Must Have<ul><li>3&#8211;5 years in pharma technology consulting, with at least 2 years in the U.S.</li><li>2+ years of experience in cloud platforms (AWS, GCP, Azure) and client service delivery.</li><li>Strong programming skills in Java, C#, Spark, PySpark, and Unix shell/Perl scripting; DevOps experience on AWS.</li><li>AWS Solutions Architect &#8211; Professional certification (preferred), along with AWS Big Data and AI/ML certifications.</li><li>Advanced degree (MBA or Master&#8217;s in Engineering) with a strong academic record, plus expertise in metadata management tools (Data Governance, MDM, etc.</li></ul>

About ProcDNA: ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for We are seeking a highly skilled Associate Engagement Lead – Technology with a strong understanding of the pharmaceutical industry and hands-on experience working with complex datasets (e.g., LAAD, DDD, XPO). In this role, you will deliver data-driven insights to solve real-world business problems, enhance performance, and manage risk. You will also lead transformation initiatives, including software modernization and cloud infrastructure migration projects. What you will do Lead cloud transformation initiatives by assessing client IT landscapes, building business cases, and executing software modernization and infrastructure migrations across AWS, Azure, and GCP. Drive end-to-end project delivery, managing cross functional teams and overseeing all phases from planning to execution with a focus on scalability and impact. Design and implement secure, compliant cloud solutions, staying ahead of emerging technologies and aligning architectures with industry best practices. Translate business requirements into technical strategies, delivering actionable solutions that address real-world challenges and maximize business value. Build and maintain strong client partnerships, ensuring high-quality service delivery while aligning solutions with strategic goals. Must Have 3–5 years in pharma technology consulting, with at least 2 years in the U.S. 2+ years of experience in cloud platforms (AWS, GCP, Azure) and client service delivery. Strong programming skills in Java, C#, Spark, PySpark, and Unix shell/Perl scripting; DevOps experience on AWS. AWS Solutions Architect – Professional certification (preferred), along with AWS Big Data and AI/ML certifications. Advanced degree (MBA or Master’s in Engineering) with a strong academic record, plus expertise in metadata management tools (Data Governance, MDM, etc.

[SSF]- Associate Engagement Lead - Technology

About ProcDNA ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for We are seeking a Veeva Practice Growth Manager who will spearhead the expansion of ProcDNA&#8217;s Veeva Commercial and Medical Affairs consulting offerings. In this strategic, outward-facing role, you will shape our go-to-market strategy, strengthen partnerships with Veeva alliance teams, build relationships across biopharma commercial and IT functions, and convert opportunities into long-term client engagements. You will play a pivotal role in positioning ProcDNA within the Veeva ecosystem and scaling a practice central to our 2026 growth strategy. What you will do Strategic Growth and GTM Leadership<ul><li>Shape and execute the annual growth plan for ProcDNA&#8217;s Veeva practice</li><li>Build and maintain strong relationships with Veeva partnership managers, AEs, and solution teams</li><li>Identify white-space opportunities across Veeva Commercial Cloud and Medical Suite</li><li>Drive positioning and messaging for our Veeva offerings (CRM, Vault PromoMats, Network, Align, Events, MedComms)</li><li>Represent ProcDNA at Veeva partner events, industry forums, and conferences</li></ul>Business Development and Client Acquisition<ul><li>Own pipeline generation and revenue targets for Veeva services</li><li>Collaborate with Veeva AEs on joint pursuits and co-selling efforts</li><li>Lead opportunity qualification, proposal development, solution discussions, and SOW creation</li><li>Engage with Commercial Ops, IT, Digital, and Medical leadership teams at biopharma companies</li><li>Convert early conversations into multi-phase implementation and managed services</li></ul>Solutioning and Thought Partnership<ul><li>Work closely with practice leads and delivery teams to develop tailored solutions</li><li>Translate business needs into well-defined statements of work</li><li>Identify cross-functional expansion opportunities</li><li>Contribute to thought leadership content, case studies, and client-facing assets</li></ul>Partner and Ecosystem Management<ul><li>Serve as the primary liaison between ProcDNA and Veeva partnership teams</li><li>Track partnership KPIs, certifications, and collaboration metrics</li><li>Build a partner-led pipeline and strengthen ProcDNA&#8217;s visibility within the Veeva ecosystem</li><li>Bring competitive intelligence and market insights to leadership</li></ul>Must Have<ul><li>10&#8211;14 years of experience in Life Sciences consulting, SaaS partner sales, or SI business development</li><li>Proven track record selling Veeva Commercial Cloud, Vault MedComms, or PromoMats services</li><li>Strong understanding of pharma commercial and medical affairs processes</li><li>Experience managing end-to-end Veeva sales cycles, including opportunity qualification, co-selling with AEs, proposal creation, and SOW development</li><li>Deep familiarity with Veeva partnership teams, alliance structures, and ecosystem dynamics</li><li>Ability to translate complex client needs into structured proposals and impactful solutions</li><li>Consistent achievement of revenue targets and pipeline goals</li><li>Strong executive presence with the ability to lead complex conversations across commercial, IT, and medical functions</li><li>Excellent communication, storytelling, and client engagement abilitie</li><li>Strategic mindset with the ability to execute hands-on in a fast-paced, entrepreneurial environment.</li><li>Solid understanding of the competitive SI and Veeva partner landscape.</li></ul>

About ProcDNA ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 8 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey? What we are looking for We are seeking a Veeva Practice Growth Manager who will spearhead the expansion of ProcDNA’s Veeva Commercial and Medical Affairs consulting offerings. In this strategic, outward-facing role, you will shape our go-to-market strategy, strengthen partnerships with Veeva alliance teams, build relationships across biopharma commercial and IT functions, and convert opportunities into long-term client engagements. You will play a pivotal role in positioning ProcDNA within the Veeva ecosystem and scaling a practice central to our 2026 growth strategy. What you will do Strategic Growth and GTM Leadership Shape and execute the annual growth plan for ProcDNA’s Veeva practice Build and maintain strong relationships with Veeva partnership managers, AEs, and solution teams Identify white-space opportunities across Veeva Commercial Cloud and Medical Suite Drive positioning and messaging for our Veeva offerings (CRM, Vault PromoMats, Network, Align, Events, MedComms) Represent ProcDNA at Veeva partner events, industry forums, and conferences Business Development and Client Acquisition Own pipeline generation and revenue targets for Veeva services Collaborate with Veeva AEs on joint pursuits and co-selling efforts Lead opportunity qualification, proposal development, solution discussions, and SOW creation Engage with Commercial Ops, IT, Digital, and Medical leadership teams at biopharma companies Convert early conversations into multi-phase implementation and managed services Solutioning and Thought Partnership Work closely with practice leads and delivery teams to develop tailored solutions Translate business needs into well-defined statements of work Identify cross-functional expansion opportunities Contribute to thought leadership content, case studies, and client-facing assets Partner and Ecosystem Management Serve as the primary liaison between ProcDNA and Veeva partnership teams Track partnership KPIs, certifications, and collaboration metrics Build a partner-led pipeline and strengthen ProcDNA’s visibility within the Veeva ecosystem Bring competitive intelligence and market insights to leadership Must Have 10–14 years of experience in Life Sciences consulting, SaaS partner sales, or SI business development Proven track record selling Veeva Commercial Cloud, Vault MedComms, or PromoMats services Strong understanding of pharma commercial and medical affairs processes Experience managing end-to-end Veeva sales cycles, including opportunity qualification, co-selling with AEs, proposal creation, and SOW development Deep familiarity with Veeva partnership teams, alliance structures, and ecosystem dynamics Ability to translate complex client needs into structured proposals and impactful solutions Consistent achievement of revenue targets and pipeline goals Strong executive presence with the ability to lead complex conversations across commercial, IT, and medical functions Excellent communication, storytelling, and client engagement abilitie Strategic mindset with the ability to execute hands-on in a fast-paced, entrepreneurial environment. Solid understanding of the competitive SI and Veeva partner landscape.

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