Assoc Director, IT Data and AI
Listed on 2026-09-09
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IT/Tech
AI Engineer (Applied/Software), Data Engineering
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.
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.
AssociatedDirector Data & AI Delivery Lead – Clinical Development
As part of the enterprise AI strategy, the Data & AI Delivery Lead for Clinical Development drives end-to-end technical delivery of AI/ML solutions supporting clinical operations, data management, safety, and regulatory domains. This role bridges business needs with technical execution and ensures delivery of scalable, high-quality AI solutions.
You will drive technical excellence in our tailored AI solutions through hands‑on architecture decisions, code quality standards and advanced analytics methodologies, delivering measurable impact to clinical development users from concept to scaled release.
This position will report to the Data/AI, Clinical Development Lead and is based in Raleigh, NC (hybrid‑eligible).
Key Responsibilities- Own end-to-end delivery including timeline and technical quality of 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
- Oversee the development of scalable solutions using Databricks, AWS, and Gilead ‘s Data & AI enterprise platforms
- 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
- Facilitate technical problem solving across clinical development domains
- Shape technical standards for research data models, storage and automation workflows
- Maintain technical documentation and runbooks for Clinical Development data pipelines and agents;
Serve as escalation point for technical risks and delivery blockers - Ensure integration with enterprise data platforms and reusable components
- Define and enforce technical standards for AI/ML and data pipelines
- Maintain documentation and operational runbooks
- Monitor product performance & drive continuous improvement towards quantifiable targets;
Track delivery, performance, and adoption metrics - Manage vendor relationships and co‑sourced delivery teams
- Ensure compliance with data governance, security, and regulatory requirements (GxP)
- Bachelor’s degree with 10+ years or Master’s with 8+ years relevant experience
- Experience leading AI/ML delivery programs in Agile environments
- Hands‑on experience in data engineering, data science, or architecture
- Strong understanding of AI/ML architectures and cloud platforms
- Experience in clinical development (trial ops, data management, safety) preferred
- Strong leadership, communication, and stakeholder management skills
- Product‑centric mindset with focus on value realization
- Experience in clinical AI/ML use cases
- Experience in GxP regulated environments
- Exposure to generative AI applications
- Familiarity with clinical systems such as EDC and regulatory platforms
The salary range for this position is: $ - $. 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…
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