Senior Product Manager - Data & AI in Clinical Trials

• 10+ years of experience in data, analytics, and/or AI domains.
• 5+ years experience in Life Sciences, Pharma, or CRO environments with clinical trial data hands-on work.
• Familiarity with clinical data standards (CDISC), EDC platforms (Medidata Rave, Veeva EDC, Oracle InForm), CTMS platforms (Veeva Vault CTMS, Medidata CTMS), and relevant clinical analytics use cases.
• Knowledge of ICH E6 GCP, 21 CFR Part 11, GDPR/HIPAA, and other clinical regulatory frameworks.
• Experience managing data products including data platforms, warehouses, lakes, BI, and advanced analytics solutions.
• Experience managing AI products and understanding their differences from analytics products.
• Ability to facilitate executive-level strategy discussions, value articulation, and realization tracking.
• Experience in product design, user acceptance testing, and measuring product adoption.
• Experience delivering projects involving Cloud Data Platforms, BI/Reporting, Data Catalogs, Analytics Modernization, Predictive Analytics & ML, Generative AI, and Agentic Systems.
• Track record of leading project teams of 10+ professionals.
• Excellent communication and presentation skills.
• Ability to manage customer expectations and articulate AI opportunities and limitations.
• Ability to transform presales opportunities into successful engagements.
• Passion for Data & AI and continuous learning mindset.

Nice to have:

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

• Manage and coordinate consulting engagements end-to-end, ensuring delivery output, quality, and client satisfaction.
• Engage with stakeholders across Clinical Development, Clinical Data Management, Biostatistics, and R&D Data Science to identify data and analytics opportunities.
• Design and facilitate workshops and stakeholder interviews to define and prioritize strategic and immediate needs.
• Define success measures and track value realization, adoption, and change management after go-live.
• Advise clients on data governance and clinical trial analytics roadmaps.
• Map stakeholder vision to specific data products and analytics solutions across clinical trial data landscape.
• Drive ideation sessions with client stakeholders and cross-functional teams to conceptualize solutions.
• Envision, prototype, and oversee implementation of analytical solutions for clinical trial operations and lifecycle analytics.
• Drive discussions on data quality, governance, and standardization across diverse clinical data sources.
• Collaborate with data engineering and architecture teams, bringing understanding of cloud data platforms (AWS, Azure, Databricks) and clinical data standards (CDISC).
• Participate in decisions regarding team structures, composition, and talent selection.
• Partner with account managers to build and retain strategic customer relationships.
• Support pre-sales and upsell initiatives with business development teams.