Associate Director, IT Systems Engineering

Gilead Sciences

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Raleigh, NC
Salary
$168,980–$218,680 / yr
Employment
Full-time
Posted
32 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $189k
This role $194k
$131k $247k
below market most similar roles pay here above market

This role pays more than 55% of similar roles. Most pay $142,500–$235,762 — the blue band above. At the midpoint, this role pays about $194k versus about $189k 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.

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At a glance

TL;DR · Associate Director, IT Systems Engineering

The Assoc Director, IT Systems Engineering leads the engineering of a scalable, secure platform infrastructure for self-serve data and agentic AI. This role involves defining target-state architecture aligned with data mesh principles and regulatory requirements while establishing enterprise standards for AI/LLM gateways and API-based data access. Key responsibilities include engineering the agentic AI stack, managing infrastructure-as-code via Terraform, and driving operational excellence through SRE and FinOps practices. The position requires deep expertise in AWS services like S3, Glue, and Bedrock, alongside Databricks technologies including Unity Catalog and Delta Lake. Candidates must utilize SQL and Python to build resilient pipelines for high-volume data. The work addresses the technical challenge of creating governed, production-grade cloud architectures that support real-time decisioning in a regulated industry.

What you'll do

  • Define and evolve the target-state architecture for the self-serve data, AI, and agentic AI platform.
  • Establish enterprise standards for data products, semantic layer services, AI/LLM gateways, and API-based data access.
  • Lead engineering of scalable, secure platform infrastructure on AWS and Databricks.
  • Engineer the agentic AI platform stack including runtimes, orchestration, identity management, and evaluation harnesses.
  • Implement platform engineering best practices such as infrastructure-as-code, CI/CD, and GxP-compliant change management.
  • Drive operational excellence across reliability, cost management (FinOps), observability, and incident response.
  • Contribute to the platform product roadmap by defining outcomes, prioritizing the backlog, and sequencing capability delivery.
  • Lead delivery across vendor partners while holding them to clear standards for quality, velocity, and operability.

What we're looking for

  • 10+ years of experience in platform engineering, data engineering, or enterprise data/AI platform architecture.
  • 3+ years of experience leading engineering teams or major platform programs.
  • Deep hands-on expertise with AWS data and AI services, including S3, Lake Formation, Glue, EKS, Bedrock, Kinesis/MSK, IAM, and Terraform.
  • Strong production experience with Databricks, including Unity Catalog, Delta Lake, Delta Live Tables, Databricks SQL, and MLflow.
  • Demonstrated experience building agentic AI or LLM-powered systems, including RAG pipelines, agent orchestration, and AI evaluation.
  • Proficiency in SQL and Python (or Scala/Java) to build resilient pipelines for high-volume batch and streaming data.
  • Proven track record of delivery leadership, including roadmap ownership, backlog management, and cross-functional coordination.
  • Experience in biopharma or regulated domains with knowledge of GxP and 21 CFR Part 11 (preferred).

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