Platform Delivery Lead, Data & AI

Gilead Sciences · Raleigh, NC

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IT & SoftwareFull-time$146k–$189kCompany career page

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Role summary

Gilead seeks a Platform Delivery Lead to oversee technical development and delivery of enterprise Data and AI platform products built on AWS and Databricks. The role involves managing engineering teams, establishing service standards, and enabling AI/ML capabilities across the organization while driving adoption of shared platform assets and accelerators.

Where this listing comes from

This listing was compiled by RoleLantern from the employer's publicly available posting on Workday, captured and rephrased by RoleLantern using automated (AI) tools on 2026-10-02 (originally posted 2026-08-18). It was not submitted or confirmed by the employer through RoleLantern. Details may be inaccurate, incomplete, outdated, or no longer available; please confirm with the employer's official posting before applying.

What they're looking for

Bachelor's degree with 8+ years experience, or Master's with 6+ years, or PhD with 2+ years
Lead data engineer, platform engineer, or solution architect background with hands-on platform operations
Technical expertise in AWS data/AI services and Databricks platform architecture
Experience building multi-tenant, self-service platform capabilities at scale
Agile/Scrum leadership experience with large distributed development teams
Strong understanding of data lakehouse, MLOps/LLMOps, and agentic AI service patterns
Product-centric mindset with excellent team leadership and stakeholder management skills

What you'll be doing

Own end-to-end delivery of Data and AI platform products from ideation through production operations
Lead hybrid technical teams of platform and data/AI engineers managing sprint planning and release schedules
Develop scalable, reusable platform capabilities on AWS and Databricks exposed as self-service products
Drive AI services enablement across the platform including model access, RAG, evaluation, and orchestration
Establish technical standards for platform architecture, data models, and automation workflows across enterprise

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Date posted46 days ago

Last source check1 day ago

Salary listedListed

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