Senior Manager, Data & AI Lead – Medical Affairs and Clinical DevelopmentAs 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 ResponsibilitiesDefine 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
Manage sprint planning, backlog prioritization and release schedules, extending into continuous improvement as both needs and the solution landscape evolves
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
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
QualificationsBachelor’s degree with 8+ years or Master’s with 6+ years relevant experience
Ensure integration with enterprise data platforms and reusable components
Experience leading AI/ML delivery programs in Agile environments
Hands-on experience in data engineering, data science, or architecture
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 DifferentiatorsExperience 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
The salary range for this position is: $146,200.00 - $189,200.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*.
For additional benefits information, visit:
https://www.gilead.com/careers/compensation-benefits-and-wellbeing
* Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans.
