Senior Manager, Platform Delivery Lead, Data & AI

Gilead Sciences

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Raleigh, NC
Salary
$146,200–$189,200 / yr
Posted
29 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $220k
This role $168k
$132k most similar roles pay here $276k

This role pays less than 85% of similar roles. Most pay $193,250–$246,150 — the shaded band above. At the midpoint, this role pays about $168k versus about $220k for comparable roles.

Based on 239 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 22 open roles on FindRole.

Listed pay typically runs $169,320–$219,120 across 21 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

Sr. Manager, Platform Delivery Lead, Data & AI joins the enterprise team to lead the technical development and delivery of foundational data and AI platform products. This role bridges the gap between platform consumers and use case teams while managing engineering teams composed of internal resources and external partners. The individual will drive technical excellence through architecture decisions, engineering quality standards, and modern data practices to deliver scalable services from concept to release. Key responsibilities include overseeing the development of reusable capabilities on AWS and Databricks, facilitating problem-solving in AI/ML and agentic enablement, and managing sprint planning and roadmap execution. Required skills include expertise in AWS services like S3 and Bedrock, Databricks tools such as Unity Catalog, and experience with MLOps, LLMOps, and API-driven architectures to solve complex data infrastructure challenges within a regulated environment.

What you'll do

  • Own the end-to-end delivery of Data and AI platform products from ideation through production and operations.
  • Manage technical engineering teams consisting of internal resources and external partners to deliver scalable platform capabilities.
  • Oversee the development of self-service tools on AWS and Databricks for use by various internal teams.
  • Drive the implementation of shared AI services including model access, RAG, evaluation, and guardrails.
  • Create reusable assets such as agent templates, prompt libraries, and reference patterns to accelerate AI adoption.
  • Lead sprint planning, backlog prioritization, and release schedules in an agile environment.
  • Establish technical standards for architecture, data models, pipeline patterns, and automation workflows.
  • Manage vendor relationships and monitor platform performance metrics like reliability, cost efficiency, and availability.

What we're looking for

  • Bachelor's degree or higher in data or computer science is required for candidates with 8+ years of experience.
  • Master's or higher degree in data or computer science is required for candidates with 6+ years of experience.
  • Experience as a lead data engineer, platform engineer, or solution architect is required.
  • Significant experience leading technical delivery in an agile environment using Agile/Scrum methodology is required.
  • Strong technical understanding of AWS data and AI services and the Databricks platform is required.
  • Experience building and operating shared, multi-tenant platform capabilities and self-service developer experiences is required.
  • Hands-on, full-stack experience with platform operations and continuous improvement in addition to design and implementation (preferred).
  • Familiarity with platform governance, security, and compliance considerations in a regulated environment (preferred).

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