Jobs / United States / Gilead Sciences INC
Sr. Manager, Platform Delivery Lead, Data & AI
Gilead Sciences INC · 🇺🇸 United States - North Carolina - Raleigh
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 159 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 75 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Gilead Sciences INC paid sponsored hires in similar roles2 certified filings for “Sr Manager, IT Engineering” (Data Scientists) in NC: $112k–$138k, median $125k. Most were filed at wage level III (50%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Gilead Sciences INC
The US Department of Labor certified 159 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 75 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Gilead Sciences INC →
About the role
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. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description As part of our enterprise AI strategy to speed life-changing therapies to patients, we are seeking a Platform Delivery Lead to lead the technical development and delivery of the foundational Data and AI platform products that power AI/ML solutions across the enterprise. In this role, you will bridge the needs of platform consumers and use case teams with technical execution, and manage platform engineering teams composed of internal resources and key external partners. You will drive technical excellence in our shared platform capabilities through hands-on architecture decisions, engineering quality standards and modern data and AI engineering practices, delivering reliable, secure, and scalable platform services from concept to scaled release. This position will report to the Associate Director, Data & AI Platform and is based in Raleigh, NC. Key Responsibilities • Own end-to-end delivery including timeline and technical quality of Data and AI platform products and capabilities, from ideation through production and ongoing operations • Apply a product-centric approach with clear ownership, roadmaps, service-level objectives, and platform adoption metrics • Oversee the development of scalable, reusable platform capabilities built on AWS and Databricks, exposed as self-service products to use case and tenant teams • Drive AI services enablement across the platform, delivering shared capabilities (model access, RAG and retrieval services, evaluation, guardrails, and orchestration) that let teams build and deploy AI solutions faster • Champion the creation of reusable assets and accelerators — agent templates, MCP tools and servers, prompt and evaluation libraries, and reference patterns — that accelerate the development and adoption of AI agents across the enterprise • Lead hybrid technical delivery teams of platform and data/AI engineers, drawing on technical experts within and beyond the team • Manage sprint planning, backlog prioritization and release schedules, extending into continuous improvement as both platform needs and the technology landscape evolve • Facilitate technical problem-solving across data engineering, AI/ML and agentic enablement, governance, and platform reliability domains • Ensure platform capabilities integrate cleanly with the broader data and AI ecosystem and provide reusable components and reference patterns (ingestion frameworks, feature/serving infrastructure, shared services) • Shape technical standards for platform architecture, data models, pipeline patterns, and automation workflows that consuming teams build upon • Maintain technical docum