Data & AI Product Manager/Senior Product Manager in Pharma Commercial

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. The role is part of EPAM's Data & AI Practice, focused on Pharma Commercial domain to help clients craft analytics and AI strategies and lead AI-driven transformations.

• 10+ years experience in data, analytics, and/or AI domain
• 3+ years in product, delivery, consulting, or presales roles
• 5+ years in Life Sciences / Pharma with expert knowledge in Pharma Commercial domains
• Familiarity with industry data and platforms like IQVIA, Veeva, SAP is a strong plus
• Proficiency in German, Spanish, or French is a strong plus
• Experience managing enterprise data products across full product lifecycle
• Experience managing AI products and understanding differences from analytics products
• Ability to drive strategy discussions at executive level including value articulation and tracking
• Experience working with end-users on product design, UATs, and adoption measurements
• Experience with Cloud Data Platforms, BI, Data Catalog/Marketplace, Analytics Migration, Predictive Analytics, Generative AI, and Agentic Systems
• Exposure to complex multi-market or cross-domain products and programs
• Track record leading project teams of 10+ individuals
• Excellent communication and presentation skills for both technical and executive audiences
• Ability to manage customer expectations and explain AI capabilities and limitations
• Ability to frame presales opportunities into customer engagements
• Passion for Data & AI and commitment to continuous learning and growth

• Manage and coordinate consulting engagements end-to-end, ensuring delivery output, quality, and client satisfaction
• Engage with customer business stakeholders to discover data, analytics, and AI opportunities
• Design and drive executive workshops and stakeholder interviews to define needs
• Map customer vision to specific data and AI products and solutions using product management techniques
• Envision, prototype, and oversee implementation of analytical solutions based on commercial domain expertise
• Drive guided analytics, leveraging advanced visualization and ad-hoc analysis
• Engage in strategic discussions on value realization, governance, and operational change management
• Define success measures and track value realization after go-live
• Collaborate with data engineering and architecture teams, leveraging knowledge of cloud data platforms and architectures
• Participate in decisions on team structure and staffing
• Partner with account managers to build and retain strategic customer relationships
• Participate in pre-sales and up-sales initiatives, respond to RFxs, create proposals, and present to clients
• Work on sales & field force analytics including territory alignment, HCP targeting, and incentive compensation modeling
• Work on marketing & brand analytics including market share, competitive benchmarking, and launch performance
• Work on customer engagement & omnichannel analytics and models
• Manage market access, patient & payer analytics and measurement
• Oversee commercial data foundation including syndicated data integration, CRM platforms, and data governance
• Develop AI & conversational analytics such as natural-language query assistants and commercial copilots

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