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 startups. They focus on custom software, product and platform engineering to help clients become AI-Native enterprises and drive measurable value from innovation and digital investments.

• 10+ years of experience in the 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 like sales, marketing, customer engagement, brand strategy, and omnichannel analytics
• Familiarity with industry data and platforms such as IQVIA, Veeva, SAP is a strong plus
• German, Spanish, or French language proficiency is a strong plus
• Demonstrated experience managing data products across full lifecycle including data platforms, warehouses, lakes, BI, and advanced analytics
• Experience managing AI products and understanding how they differ from analytics products
• Ability to facilitate and drive strategy discussions at executive levels, including value articulation and tracking
• Experience working with end-users on product design, UATs, and adoption measurement
• Experience in end-to-end project delivery covering Cloud Data Platforms, BI/Reporting, Data Catalog/Marketplace, Analytics Migration, Predictive Analytics/ML, Generative AI, and Agentic Systems
• Exposure to complex multi-market or cross-domain products and programs
• Proven track record leading project teams of 10+ individuals
• Excellent communication and presentation skills, capable of technical depth and executive narratives
• Ability to manage customer expectations and have honest discussions about AI capabilities
• Ability to frame presales opportunities into customer engagements
• Passion for Data & AI with a track record of staying ahead of industry developments
• Growth mindset, eager to learn and adapt as the Data and AI landscape evolves

• Manage and coordinate consulting engagements end-to-end, owning delivery output, quality, and client satisfaction, or driving major pillars of broader data strategy and transformation programs
• Engage with customer business stakeholders to identify data, analytics, and AI opportunities across platforms, analytics, GenAI, and agentic use cases
• Design and drive executive workshops and stakeholder interviews to define and prioritize strategic and immediate needs
• Map customer vision and requirements to specific data and AI products, platforms, and solutions using appropriate product management techniques
• Conduct collaborative ideation sessions with client stakeholders and internal cross-functional teams to conceptualize target solutions
• Envision, prototype, and oversee implementation of analytical solutions based on commercial domain expertise and business goals
• Drive guided analytics and leverage non-standard visualization and ad-hoc analytics in executive discussions
• Engage clients on strategic topics such as value realization, governance, operational change management, and roadmap definition
• Define success measures with clients at project outset and track realized value post go-live, including adoption and change management
• Collaborate effectively with data engineering and architecture teams, bridging business needs with technical delivery
• Participate in decisions regarding team structures, composition, and staffing to ensure delivery excellence
• Partner with account managers to build, grow, and retain strategic customer relationships
• Collaborate with business development for pre-sales and up-sales initiatives; navigate ambiguity, respond to RFxs, and present proposals
• Work on sales and field force analytics including territory alignment, HCP targeting, incentive compensation modeling, and engagement effectiveness
• Handle marketing and brand analytics such as brand and market share analytics, competitive benchmarking, market landscape, launch performance, and competitive intelligence
• Manage customer engagement and omnichannel analytics including HCP/HCO 360 data products, next-best-channel/action models, content/channel effectiveness, and engagement scoring
• Conduct market access, patient and payer analytics including patient journey and adherence modeling, payer mix and access analytics, and patient support program measurement
• Oversee commercial data foundation tasks like syndicated data integration (IQVIA, GERS), CRM platforms (Veeva), claims and real-world data harmonization, master data management, data lake/warehouse modernization, and data quality/governance
• Drive AI and conversational analytics initiatives such as natural-language query assistants, commercial copilots, insight synthesis agents, automation of reporting and analysis, and agentic workflows for commercial operations

Benefits listed are available to employees only. Open to working with Contractors; B2B cooperation terms agreed individually. Only selected candidates will be contacted.