Senior Product Manager - Data & AI in Clinical Trials

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 programs
• Engage 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…
• Design and facilitate workshops and stakeholder interviews to define and prioritize strategic and immediate needs
• Define 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 products
• Map 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…
• Envision, 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 activities
• Drive 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,…
• Engage 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 products
• Collaborate 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…

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