Senior Manager, Data & AI Lead - Medical Affairs and Clinical Development

Senior Manager, Data & AI Lead – Medical Affairs and Clinical Development

As part of the enterprise AI strategy, the Senior Manager, Data & AI Lead for Medical affairs and Clinical Development drives strategy, planning, and end-to-end delivery of AI/ML solutions supporting medical affairs, clinical operations, safety, quality and regulatory domains.

This role extends beyond technical delivery to include portfolio leadership, stakeholder engagement, and value realization, ensuring scalable, high-quality AI solutions are delivered from concept through scaled adoption across Medical affairs and Clinical Development.

Key Responsibilities

• Define and execute the Medical Affairs Clinical Development Data & AI roadmap aligned to enterprise AI strategy
• Own end-to-end delivery including timeline and technical quality of Medical Affairs and Clinical Development AI use case solutions from ideation through production
• Apply product-centric approach with clear ownership, roadmaps, and user adoption metrics
• Manage Agile delivery including sprint planning, backlog prioritization, and releases
• Ensure delivery of scalable and robust solutions
• Lead hybrid technical delivery teams, drawing on technical experts within and beyond the team
• Shape technical standards for medical affairs and clinical data models, storage and automation workflows; Define and enforce standards for AI/ML models and data pipelines
• Implement master data management (MDM) solution using Informatica
• Maintain technical documentation and runbooks for Medical Affairs, Clinical Development data pipelines and agents; Serve as escalation point for technical risks and delivery blockers
• Ensure compliance with data governance, security, and regulatory requirements (GxP)
• Facilitate technical problem solving across clinical development domains
• Ensure integration with enterprise data platforms and reusable components
• Monitor product performance & drive continuous improvement towards quantifiable targets; Track delivery, performance, and adoption metrics

Qualifications

• Bachelor's degree with 8+ years or Master's with 6+ years relevant experience
• Experience leading AI/ML delivery programs in Agile environments
• Hands-on experience in data engineering, data science, or architecture
• Experience in clinical development (trial ops, clinical data management, safety) preferred
• Strong leadership, communication, and stakeholder management skills
• Product-centric mindset with focus on value realization

Optional Differentiators

• Experience in clinical AI/ML use cases
• Experience of MDM
• Experience in GxP regulated environments
• Exposure to generative AI applications
• Familiarity with medical affairs and clinical systems such as Veeva, CRM and regulatory platforms