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. With over thirty years of expertise in custom software, product, and platform engineering, EPAM empowers clients to become AI-Native enterprises, driving measurable value from innovation and digital investments. The role is within EPAM's Data & AI Practice focusing on Pharma Commercial.

• 10+ years experience in data, analytics, and/or AI domains
• 3+ years in product, delivery, consulting, or presales roles
• 5+ years in Life Sciences / Pharma with expert knowledge of Pharma Commercial domains and industry data/platforms
• Proficiency in German, Spanish, or French is a strong plus
• Experience managing enterprise data products including data platforms, warehouses, lakes, BI, and advanced analytics
• Experience managing AI products with understanding of their differences from analytics products
• Ability to facilitate strategy discussions at executive level, including value articulation and tracking
• Experience working with end-users on product design, UATs, and adoption measurement
• Experience delivering projects across cloud data platforms, BI/reporting, data catalog, analytics migration, predictive analytics, generative AI, and agentic systems
• Experience leading project teams of 10+ people
• Excellent communication and presentation skills for both technical and executive audiences
• Ability to manage customer expectations and have honest conversations about AI capabilities
• Capability 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 stakeholders to discover data, analytics, and AI opportunities and conduct executive workshops
• Map customer vision to specific data and AI products, platforms, and solutions, driving collaborative ideation sessions
• Envision, prototype, and oversee implementation of analytical solutions based on commercial domain expertise
• Guide strategic dimensions including value realization, governance, and operational change management
• Collaborate with data engineering and architecture teams bridging commercial needs with technical delivery
• Participate in decisions on team structures, talent selection, and project staffing to ensure delivery excellence
• Partner with account managers to build, grow, and retain strategic customer relationships
• Collaborate with business development on pre-sales and up-sales initiatives, responding to RFxs and proposals
• Lead analytics efforts in sales & field force, marketing & brand, customer engagement & omnichannel, market access, and commercial data foundation
• Drive AI & conversational analytics development including natural-language query assistants, commercial copilots, and automation of commercial reporting

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