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. EPAM's Data & AI Practice specializes in Pharma Commercial, helping clients craft analytics and AI strategies, design data & AI platforms, and lead AI-driven transformation in enterprise settings.

• 10+ years of 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 of Pharma Commercial domain areas
• Experience managing data products and AI products across the full lifecycle
• Ability to facilitate executive-level strategy discussions and track value realization
• Experience with end-user product design, UAT, and adoption facilitation
• Experience with project delivery of cloud data platforms, BI, predictive analytics, ML, Generative AI, and Agentic Systems
• Experience leading project teams of 10+ individuals
• Excellent communication and presentation skills for technical and executive audiences
• Capability to manage expectations and communicate AI capabilities honestly
• Ability to frame presales opportunities into customer engagements
• Passion for Data & AI with a growth mindset
• German, Spanish, or French language proficiency is a strong plus

• Manage and coordinate consulting engagements end-to-end, ensuring delivery output, quality, and client satisfaction
• Engage with business stakeholders to identify data, analytics, and AI opportunities and facilitate executive workshops
• Map customer vision to data and AI products and platforms using appropriate product management techniques
• Envision and oversee implementation of analytical solutions leveraging commercial domain expertise
• Define success measures and track value realization, adoption levels, and change management
• Collaborate with data engineering and architecture teams with understanding of cloud data platforms and data architectures
• Participate in decisions on team structure and talent selection to ensure delivery excellence
• Partner with account managers for strategic customer relationship building
• Participate in pre-sales and up-sales initiatives by responding to RFxs, creating proposals, and presenting to clients
• Lead analytics and data product initiatives across sales, marketing, customer engagement, market access, and commercial data foundation areas
• Oversee AI and conversational analytics products such as natural-language query assistants and commercial copilots

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