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

Are you energized by turning ambiguous business challenges in the pharmaceutical and life sciences sector into intelligent, data-driven strategies and products that reshape how commercial enterprises operate? Do you see the difference between shipping a standard dashboard and shaping an enterprise-wide commercial data & AI transformation — and get excited about the latter? If you're strategic, resilient, naturally engaging, and thrive at the intersection of pharma commercial value, data architecture, and emerging AI, this could be your next chapter at EPAM.EPAM's Data & AI Practice is hiring a Manager / Senior Manager, AI & Data Consulting specialized in Pharma Commercial to help our clients craft analytics and AI strategies, design best-in-class data & AI platforms, and lead the AI-driven transformation of their enterprises. You'll work shoulder-to-shoulder with industry leaders translating cutting-edge capabilities (GenAI, agentic systems, ML, advanced analytics) into programs that move the needle. We're passionate about delivering measurable value from data and AI, and we're looking for people who share that mindset.You won't just advise or manage individual products — you'll own program-level outcomes, shape commercial product and data strategy at the senior stakeholder level, participate in pre-sales and up-sales under conditions of high ambiguity, build and lead high-caliber teams, and have direct influence on how top global pharma companies adopt AI and data responsibly and effectively.ResponsibilitiesManage and coordinate consulting engagements end-to-end, owning delivery output, quality, and client satisfaction, or driving major pillars of broader data strategy and transformation programsEngage with customer business stakeholders to discover data, analytics, and AI opportunities — spanning from platform to analytics to GenAI and agentic use cases. Design and drive executive workshops and stakeholder interviews to define and prioritize strategic and immediate needsMap customer vision and requirements to specific data products, AI products, platforms, and solutions, applying the right product management techniques to each. Drive collaborative ideation sessions with client stakeholders and internal cross-functional teams to conceptualize target solutionsEnvision, prototype, and oversee the implementation of analytical solutions based on deep commercial domain expertise (sales, marketing, market access, etc.) and business goals. Drive guided analytics to solve complex challenges, leveraging non-standard visualization techniques and ad-hoc analytics in executive discussionsEngage with clients on broader strategic dimensions—such as value realization, governance, operational change management, and what constitutes a winning roadmap of commercial analytics and AI products. Define success measures with the client at the outset and track realized value after go-live, including adoption levels and change management needed to reach themCollaborate effectively with data engineering and architecture teams. You bring a strong conceptual understanding of modern cloud data platforms (such as AWS, Azure, or Databricks) and modern data architectures (Data Lakes, Data Warehouses, Data Mesh), allowing you to bridge business commercial needs with technical delivery without needing to write production codeAs a trusted vendor partner, participate in decisions regarding team structures, composition, and the selection of top-tier talent to ensure delivery excellence and right-fit project staffingPartner with account managers to build, grow, and retain strategic customer relationshipsPartner with business development to participate in pre-sales and up-sales initiatives. Navigate high ambiguity before discovery phases to understand client business needs. Respond to RFxs, create compelling proposals, and present them to potential clientsSales & field force analytics: territory alignment and sizing models, HCP targeting and segmentation, incentive compensation modeling, rep vs. digital engagement effectiveness measurementMarketing & brand analytics: brand and market share analytics, competitive benchmarking analytics, market landscape and signal detection, launch performance analytics, competitive intelligence data productsCustomer engagement & omnichannel: HCP/HCO 360 data products, next-best-channel/next-best-action models, content and channel effectiveness analytics, engagement propensity scoringMarket access, patient & payer analytics: patient journey and adherence/persistency modelling, payer mix and access analytics, patient support program performance measurementCommercial data foundation: syndicated data integration (e.g., IQVIA, GERS, or local market equivalents), CRM platforms (e.g., Veeva or similar), claims and real-world data harmonization, HCP/HCO master data management, commercial data lake/warehouse modernization, data quality and governance for regulated commercial dataAI & conversational analytics: 'ask-your-data' and natural-language query assistants, commercial copilots for brand and marketing teams, insight and literature synthesis agents, automation of commercial reporting and analysis, agentic workflows for commercial opsRequirements10+ years of total experience in the data, analytics, and/or AI domain3+ years in product, delivery, consulting, or presales roles5+ years in Life Sciences / Pharma. Have expert knowledge and understanding of Pharma Commercial domain areas (sales, marketing, customer engagement, brand strategy, omnichannel analytics). Familiarity with industry data and platforms (such as IQVIA, Veeva, SAP, data) is a strong plusGerman, Spanish, or French language proficiency is a strong plusDemonstrated experience managing data products for enterprises — including data platforms, data warehouses, data lakes, BI, and advanced analytics solutions — across the full product lifecycleDemonstrated experience managing AI products and a clear understanding of how they differ from analytics productsAbility to facilitate and drive strategy discussions at executive level, including value articulation and tracking of value realizationExperience working with end-users driving product design, running UATs, and facilitating and measuring adoptionExperience in end-to-end project delivery as part of the team: Cloud Data Platforms, BI/Reporting, Data Catalog / Marketplace, Analytics Migration & Modernization, Predictive Analytics & ML, Generative AI, and Agentic SystemsExposure to complex multi-market or cross-domain products and programsTrack record of leading project teams of 10+ individualsExcellent communication skills and dynamic presenter — equally comfortable with technical depth and executive narrativesAbility to manage customer expectations, present and explain project deliverables to senior stakeholders, and have honest conversations about what AI can and can't doAbility to frame a presales opportunity into a customer engagementA genuine passion for the Data & AI space and a track record of staying ahead of the curveA growth mindset — eager to learn, experiment, and expand your comfort zone as the Data and AI landscape evolvesWe offerWe gather like-minded people:Top tech minds driving innovation in AI, cloud and digital platform modernizationSupportive team and agile, startup-like cultureHybrid by design mode and opportunity to work remotely within PolandChance to work abroad for up to 60 days annuallyBusiness-driven relocation opportunitiesWe provide growth opportunities:Career development programsThought leadership, mentoring, soft skills and well-being programsCertification (Anthropic, Gemini, GCP, Azure, AWS)English classesWe cover it all:Stable payParticipation in the Employee Stock Purchase Plan with a 15% discountBenefits package (health insurance, multisport, shopping vouchers)Referral bonuses up to $2,000Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and moreCorporate, social and well-being eventsPlease, note:Benefits listed above are available to employees onlyWe are open for working with Contractors. Terms of B2B cooperation agreements are agreed individuallyWe will reach out to selected candidates exclusivelyEPAM is 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, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.