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

EPAM Systems is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and startups. With over thirty years of expertise in custom software, product and platform engineering, they empower clients to become AI-Native enterprises, driving value from innovation and digital investments.

• Over 10 years experience in data, analytics, or AI domains
• Minimum 3 years in product, delivery, consulting, or presales roles
• More than 5 years in Life Sciences/Pharma with expert knowledge in commercial domains (sales, marketing, customer engagement, brand strategy)
• Familiarity with industry data and platforms like IQVIA, Veeva, SAP
• Proficiency in German, Spanish, or French is a strong plus
• Proven experience managing data products across full lifecycle including data platforms, warehouses, lakes, BI, and advanced analytics
• Experience managing AI products and understanding distinctions from analytics products
• Ability to facilitate executive-level strategy discussions, value articulation, and tracking
• Experience with end-user engagement, product design, UATs, and adoption measurement
• Experience delivering projects in Cloud Data Platforms, BI/Reporting, Data Catalog, Analytics Migration, Predictive Analytics, Generative AI, and Agentic Systems
• Experience with complex multi-market or cross-domain programs
• Track record leading project teams of 10+ individuals
• Excellent communication and presentation skills balancing technical depth and executive narratives
• Capability to manage customer expectations regarding AI capabilities and limitations
• Ability to transition presales opportunities into customer engagements
• Passion for Data & AI with continuous learning mindset

• Manage and coordinate data & AI consulting engagements end-to-end, ensuring delivery output, quality, and client satisfaction
• Engage with business stakeholders to identify data, analytics, and AI opportunities, conducting executive workshops and stakeholder interviews
• Map customer vision to data and AI products and platforms, and drive ideation sessions with clients and internal teams
• Envision, prototype, and oversee implementation of analytical solutions leveraging commercial domain expertise
• Define success measures and track value realization and adoption post-implementation
• Collaborate with data engineering and architecture teams, leveraging knowledge of cloud data platforms and data architectures without coding
• Participate in decisions on team structures, talent selection, and project staffing
• Partner with account managers to build and retain strategic customer relationships
• Support pre-sales and up-sales activities, including responding to RFxs and proposal creation
• Lead sales and field force analytics including territory alignment and incentive compensation modeling
• Lead marketing and brand analytics, competitive benchmarking, and launch performance analytics
• Manage customer engagement and omnichannel analytics, including next-best-action models
• Oversee market access, patient, and payer analytics, including journey modeling and access analytics
• Manage commercial data foundation activities like syndicated data integration, CRM platforms, data harmonization, and governance
• Drive AI and conversational analytics initiatives such as natural-language query assistants and automation of commercial reporting

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