Senior Product Manager - Data & AI in Clinical Trials

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.

• 10+ years of experience in data, analytics, and/or AI domain
• 5+ years experience in Life Sciences, Pharma, or CRO with clinical trial data focus
• Familiarity with clinical data standards (CDISC), EDC platforms (Medidata Rave, Veeva EDC, Oracle InForm), CTMS platforms (Veeva Vault CTMS, Medidata CTMS)
• Knowledge of clinical analytics use cases including trial operations, site monitoring, recruitment, compliance, and pharmacovigilance
• Working knowledge of ICH E6 GCP, 21 CFR Part 11, GDPR/HIPAA, and other clinical trial regulations
• Experience managing data products including data platforms, warehouses, data lakes, BI, and advanced analytics
• Experience managing AI products and understanding distinctions from analytics products
• Ability to lead executive-level strategy discussions and value tracking
• Experience engaging end users, driving product design, running UATs, and measuring adoption
• Experience with Cloud Data Platforms (AWS, Azure, Databricks), BI/Reporting, Data Catalogs, Analytics Modernization, Predictive Analytics & ML, Generative AI
• Exposure to complex multi-market or cross-domain products and leadership of teams of 10+ professionals
• Excellent communication and presentation skills for both technical and executive audiences
• Ability to manage customer expectations and articulate AI opportunities and limitations
• Passion for Data & AI and commitment to continuous learning

Nice to have:

• Experience with TMF systems (Veeva Vault) and LMS platforms
• Experience with DCT platforms and remote/hybrid trial data
• Experience handling imaging/DICOM or unstructured clinical data
• Knowledge of pharmacovigilance platforms (Argus, ArisG, Veeva Safety) and Phase IV/post-marketing analytics
• Prior consulting or vendor-side delivery experience in life sciences

• Manage and coordinate consulting engagements end-to-end, owning delivery output, quality, and client satisfaction
• Engage with stakeholders across Clinical Development, Trial Management, Data Management, Biostatistics, and R&D Data Science to identify analytics opportunities
• Design and facilitate workshops and stakeholder interviews to define and prioritize needs
• Define success measures and track value realization, adoption, and change management
• Map stakeholder vision to data products, platforms, and analytics solutions across clinical trial data landscape
• Envision, prototype, and oversee implementation of analytical solutions for clinical trial domains
• Drive discussions on data quality, governance, standardization, and clinical data standards adoption (CDISC, SDTM, ADaM)
• Advise clients on data governance and clinical trial analytics roadmaps
• Collaborate with data engineering and architecture teams, maintaining hands-on involvement in data modeling and transformation
• Participate in team decisions regarding structure, composition, and talent selection
• Partner with account managers to build and retain strategic customer relationships
• Support pre-sales and upsell initiatives, contribute to RFx responses and client presentations

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