Associate Director, AI & ML Ops Lead -- Kite Commercial

Gilead Sciences

Remote

Quick summary

Work type
Remote
Location
Raleigh, NC
Salary
$168,980–$218,680 / yr
Posted
5 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $226k
This role $194k
$158k most similar roles pay here $274k

This role pays less than 76% of similar roles. Most pay $196,800–$254,468 — the shaded band above. At the midpoint, this role pays about $194k versus about $226k for comparable roles.

Based on 238 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 15 open roles on FindRole.

Listed pay typically runs $168,980–$218,680 across 15 roles with salary data.

Most-posted roles

View all roles at Gilead Sciences

At a glance

TL;DR · Associate Director, AI & ML Ops Lead -- Kite Commercial

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As an AI & MLOps Lead within the IT Data & AI CoE team at Kite IT Sales & Digital in Raleigh, NC, you will support the commercial line of business by designing and deploying data science solutions that enhance patient care through advanced analytics. Your day-to-day responsibilities include developing production-grade analytics infrastructure on AWS and Databricks, managing model lifecycle transitions from experimentation to deployment, and ensuring compliance with HIPAA/PHI regulations. You will work closely with data scientists and commercial stakeholders to build agentic AI systems capable of autonomously detecting anomalies in commercial data and recommending actions. Key technologies include Python, SQL, TypeScript, Docker, GitHub Actions, Databricks MLflow, and Cortex AI platforms. This role demands expertise in pharmaceutical commercial analytics, particularly in cell and gene therapy (CGT) environments, with a focus on integrating Veeva CRM and other enterprise systems for seamless automation.

Skills

AWS Databricks Python SQL TypeScript Go Rust GitHub Actions Docker MLOps TDD Airflow MLflow SageMaker CI/CD Spark Cortex AI HIPAA SOC 2 21 CFR Part 11 IQVIA LAAD Symphony NPA Veeva CRM MMIT Model N Salesforce Microsoft 365 ServiceNow MCP

What you'll do

  • Develop and maintain ML model lifecycle management pipelines from experimentation to production.
  • Design robust data workflows for batch and streaming data integration and feature set management.
  • Ensure reliability and scalability of ML systems through effective logging, tracing, and alerting mechanisms.
  • Collaborate with teams to decompose business workflows into agent-executable workstreams for agentic AI.
  • Implement governance frameworks for datasets, code, models, and agent instructions to ensure compliance.

What we're looking for

  • Bachelor's degree with 10 years of experience or equivalent.
  • Proficiency in Python and SQL; experience with TypeScript/JavaScript or systems languages.
  • Hands-on experience with CI/CD tools, containerization, and cloud infrastructure.
  • Expertise in deploying ML solutions at scale using frameworks like SageMaker, Databricks MLflow.
  • Knowledge of data privacy and security regulations (HIPAA, GDPR).
  • Experience designing scalable AI/ML infrastructures on AWS and Databricks.
  • Domain expertise in pharmaceutical commercial analytics and CGT data environments.

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