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

Gilead Sciences•Raleigh, NC

19h

About The Position

At Gilead, we’re creating a healthier world for all people. For more than 35 years, we’ve tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer – working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world’s biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead’s team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we’re looking for the next wave of passionate and ambitious people ready to make a direct impact. Join Gilead and help create possible, together. 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.

Requirements

Bachelor’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

Nice To Haves

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

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
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
Ensure delivery of scalable and robust solutions
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 delivery of scalable and robust solutions
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
Ensure integration with enterprise data platforms and reusable components