Senior Manager, Platform Delivery Lead, Data & AI

Gilead Sciences

Confirmed live today High trust
Hybrid

Quick summary

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

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $211k
This role $168k
$133k $269k
below market most similar roles pay here above market

This role pays less than 78% of similar roles. Most pay $180,987–$241,812 — the blue band above. At the midpoint, this role pays about $168k versus about $211k 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 · Senior Manager, Platform Delivery Lead, Data & AI

The Sr. Manager, Platform Delivery Lead, Data & AI joins the Data & AI Platform team to lead the technical development and delivery of foundational platform products powering enterprise AI/ML solutions. This role involves bridging the needs of platform consumers and use case teams while managing hybrid engineering teams of internal resources and external partners. Key responsibilities include owning end-to-end delivery, managing roadmaps, and driving technical excellence in shared capabilities like model access, RAG, and orchestration. The position requires hands-on architecture decisions using AWS services, including S3, EKS, Lake Formation, and Bedrock, alongside Databricks tools like Unity Catalog and Delta Live Tables. The role solves the business problem of accelerating the development and adoption of AI agents and scalable, multi-tenant platform services 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 to manage 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 model access, RAG, and evaluation guardrails.
  • Lead hybrid technical delivery teams of platform and data engineers to manage sprint planning and backlog prioritization.
  • Shape technical standards for platform architecture, data models, pipeline patterns, and automation workflows.
  • Track delivery and platform health metrics including reliability, availability, and operational efficiency.
  • Manage vendor relationships and outsourced delivery with co-source providers.

What we're looking for

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

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