Platform Delivery Lead, Data & AI

Gilead Sciences

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Raleigh, NC
Salary
$146,200–$189,200 / yr
Employment
Full-time
Posted
95 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $197k
This role $168k
$115k $247k
below market most similar roles pay here above market

This role pays less than 77% of similar roles. Most pay $169,550–$224,075 — the blue band above. At the midpoint, this role pays about $168k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About Gilead Sciences

Gilead Sciences, Inc. is a leading American biopharmaceutical company specializing in discovering, developing, and commercializing innovative medicines for unmet medical needs.

Gilead Sciences currently has 37 open roles on FindRole.

Listed pay typically runs $168,980–$218,680 across 28 roles with salary data.

Most-posted roles

View all roles at Gilead Sciences

At a glance

TL;DR · Platform Delivery Lead, Data & AI

The Platform Delivery Lead, Data & AI joins the enterprise AI strategy team to lead the technical development and delivery of foundational Data and AI platform products. This role involves bridging the needs of platform consumers and use case teams with technical execution, managing hybrid teams of internal and external engineers. Key responsibilities include owning end-to-end delivery, managing backlogs, and driving technical excellence in shared platform capabilities. You will build scalable, reusable services using AWS and Databricks, including S3, EKS, Lake Formation, and Unity Catalog. The role focuses on enabling AI services like RAG, model access, and guardrails while creating accelerators like agent templates and prompt libraries. You will solve complex problems in data engineering, MLOps, LLMOps, and API-driven architectures within a regulated environment.

What you'll do

  • Own end-to-end delivery of Data and AI platform products from ideation through production and operations.
  • Apply a product-centric approach using roadmaps, service-level objectives, and platform adoption metrics.
  • Oversee the development of scalable, reusable platform capabilities built on AWS and Databricks.
  • Drive AI services enablement by delivering shared capabilities like RAG, evaluation, and orchestration.
  • Champion the creation of reusable assets and accelerators to speed up AI agent development.
  • Lead hybrid technical delivery teams of platform and data engineers through sprint planning and backlog prioritization.
  • Shape technical standards for platform architecture, data models, pipeline patterns, and automation workflows.
  • Manage vendor relationships and outsourced delivery with co-source providers.

What we're looking for

  • Bachelor's Degree and Eight Years' Experience OR Masters' Degree and Six Years' Experience OR PhD and Two Years Experience.
  • Bachelor's or higher degree in data or computer science (preferred).
  • 8+ years of relevant experience for BA/BS holders or 6+ years for MA/MS/MBA holders (preferred).
  • Significant experience leading technical delivery in an agile environment (preferred).
  • Experience as a lead data engineer, platform engineer, or solution architect (preferred).
  • Hands-on, full-stack experience with platform operations, design, and implementation (preferred).
  • Strong technical understanding of AWS data and AI services and the Databricks platform (preferred).
  • Experience building and operating shared, multi-tenant platform capabilities and self-service developer experiences (preferred).

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