$146,200 – $189,200
Listed on Gilead Sciences’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Lead technical delivery and operations of Gilead's enterprise data and AI platform, overseeing engineering teams building scalable, reusable capabilities on AWS and Databricks. This role suits experienced platform or data engineering leaders who excel at cross-functional coordination and want to enable AI adoption across a large organization.
Our summary, not Gilead Sciences’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Bachelor's degree and 8+ years of relevant experience, or Master's degree and 6+ years, or PhD and 2+ years
- Lead technical delivery in an agile environment
- Hands-on platform engineering or data engineering experience
- Technical understanding of AWS data and AI services and Databricks platform
- Experience building and operating shared, multi-tenant platform capabilities
- Team leadership skills
Nice to have
- Bachelor's or higher in data or computer science
- Full-stack platform operations and continuous improvement experience
- Experience with large dispersed development teams (15+)
- Product-centric mindset
- Understanding of data lakehouse, MLOps/LLMOps, and agentic AI service patterns
- Familiarity with platform governance, security, and compliance in regulated environments