Senior Product Manager - Data & AI in Clinical Trials

Are you energized by turning fragmented, operational clinical trial data into clear, actionable insights that help trial teams make faster, better-informed decisions? Do you see the difference between shipping a one-off report and building a reusable data product that becomes part of how a clinical trial is actually run and get excited about the latter? If you're detail-oriented, hands-on, and thrive at the intersection of clinical operations, data engineering, and analytics, this could be your next chapter at EPAM. EPAM's Data & AI Practice is hiring a Senior Product Manager specialized in Clinical Trials to help our clients turn operational, financial, and clinical trial data into interactive, decision-ready analytics and data products. You'll work closely with stakeholder teams across Data Reporting & Automation, Data Science Operations, Medical Safety, Clinical Data Management, Biostatistics, Statistical Programming, and Device Management, translating clinical trial data into dashboards, pipelines, and curated data products that clinical trial managers and functional leads rely on to run trials more effectively. This role combines strategic engagement leadership with hands-on delivery. You will shape the analytics roadmap with client stakeholders and stay involved in the design and build of solutions that bring it to life across the clinical trial and patient lifecycle, including trial cost and resource tracking, site and patient recruitment, clinical monitoring, clinical data integration and standards, compliance and documentation analytics, and pharmacovigilance-related use cases. We're passionate about delivering measurable operational value from data, and we're looking for people who share that mindset. Responsibilities Manage and coordinate consulting engagements end-to-end, owning delivery output, quality, and client satisfaction, or driving major pillars of broader clinical data and analytics transformation programsEngage with customer stakeholders across Clinical Development and Clinical Trial Management, Clinical Data Management, Biometrics and Biostatistics, and R&D Data Science to discover data and analytics opportunities spanning the clinical trial data foundation, from operational reporting to advanced and AI-enabled analytics use cases. Design and facilitate workshops and stakeholder interviews to define and prioritize strategic and immediate needsDefine success measures with stakeholders at the outset and track value realization, adoption, and change management after go-live. Advise clients on data governance and on the roadmap for clinical trial analytics and data productsMap stakeholder vision and requirements to specific data products, platforms, and analytics solutions across the clinical trial data landscape, including trial operations and cost analytics, CRA and site monitoring analytics, site activation and patient recruitment analytics, EDC and DCT data integration, TMF and training compliance analytics, and pharmacovigilance-related analytics use cases. Apply the right delivery approach to each and drive collaborative ideation sessions with client stakeholders and cross-functional teams to conceptualize target solutionsEnvision, prototype, and oversee the implementation of analytical solutions based on deep clinical trial domain expertise (clinical operations, monitoring, data management, and regulatory requirements) and operational goals. Deliver solutions spanning site and patient lifecycle analytics, risk-based monitoring, recruitment and retention analytics, operational performance tracking, and multi-phase clinical trial analytics from Phase I through post-marketing activitiesDrive discussions on data quality, governance, and standardization across clinical data sources (EDC, DCT/ePRO/wearable data, imaging/DICOM, TMF, LMS), including clinical data standards adoption and transformation activities such as CDISC-aligned data models and SDTM/ADaM mappings, helping clients build a reliable, reusable data foundation rather than fragmented point solutionsEngage with clients on broader dimensions such as value realization, data governance, operational change management, and defining a winning roadmap for clinical trial analytics and data productsCollaborate effectively with data engineering and architecture teams. Bring a strong conceptual understanding of modern cloud data platforms (AWS, Azure, Databricks) and clinical data standards (CDISC: CDASH, SDTM, ADaM), bridging clinical operational needs with technical delivery while remaining hands-on with data modeling, transformation, and analytics where neededAs a trusted partner, participate in decisions regarding team structures, composition, and talent selection to ensure delivery excellence and optimal project staffingPartner with account managers to build, grow, and retain strategic customer relationshipsPartner with business development teams to support pre-sales and upsell initiatives, navigate ambiguity in early discovery phases, and contribute to RFx responses, proposals, and client presentations Requirements 10+ years of total experience in the data, analytics, and/or AI domain5+ years of experience in Life Sciences, Pharma, or CRO environments, with hands-on work involving clinical trial data and a strong understanding of the clinical trial lifecycle, roles, and processesExperience working directly with clinical trial data. Familiarity with clinical data standards (e.g., CDISC), EDC platforms (e.g., Medidata Rave, Veeva EDC, Oracle InForm), CTMS platforms (e.g., Veeva Vault CTMS, Medidata CTMS), and clinical analytics use cases such as trial operations and cost analytics, site monitoring, patient recruitment, compliance reporting, and pharmacovigilance analyticsWorking knowledge of ICH E6 GCP, 21 CFR Part 11, GDPR/HIPAA requirements, and other relevant clinical trial regulatory frameworksGerman, 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 executive-level strategy discussions, including value articulation and value realization trackingExperience working directly with end users, driving product design, running UATs, and measuring product adoptionExperience delivering projects involving Cloud Data Platforms, BI/Reporting, Data Catalogs and Marketplaces, Analytics 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+ professionalsExcellent communication and presentation skills, equally comfortable discussing technical details and executive-level business outcomesAbility to manage customer expectations, present project deliverables to senior stakeholders, and confidently articulate both the opportunities and limitations of AIAbility to transform a presales opportunity into a successful customer engagementA genuine passion for the Data & AI space and a track record of staying ahead of industry trendsA growth mindset with a desire to continuously learn, experiment, and expand expertise as the Data & AI landscape evolves Nice to have Exposure to TMF systems (e.g., Veeva Vault) and LMS platformsExperience with DCT platforms and remote/hybrid trial data sourcesExperience handling imaging/DICOM data or other unstructured clinical dataKnowledge of pharmacovigilance platforms (e.g., Argus, ArisG, Veeva Safety) and Phase IV/post-marketing study analyticsPrior consulting or vendor-side delivery experience within the life sciences industry We offer We 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 exclusively EPAM 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.