Assoc Director, It Data Engineering

Gilead Sciences

Raleigh, North Carolina, United States
$168,980.00 - $218,680.00; discretionary annual bo...
On-site
Ai/ml and generative ai solutions
Aws and databricks platforms
Mlops and llmops practices
Gilead Sciences is seeking an Associate Director of IT Data Engineering to lead the development and delivery of AI solutions for their US Commercial Digital Marketing team. The ideal candidate will have extensive experience in AI/ML solutions, strong leadership skills, and a commitment to fostering an inclusive work environment

Job Summary

  • Lead the technical development and delivery of AI/ML and Generative AI solutions across Commercial Digital Marketing to speed life-changing therapies to patients.
  • Oversee development of scalable solutions using AWS and Databricks, build, train or fine tune ML models, and deliver Generative AI solutions.
  • Embed responsible AI, privacy, and compliance by partnering with legal, privacy, and ethics teams to address data privacy, transparency, and risk management.

Matching Summary

Match Score: 85

Gilead Sciences is seeking an Associate Director of IT Data Engineering to lead the development and delivery of AI solutions for their US Commercial Digital Marketing team. The ideal candidate will have extensive experience in AI/ML solutions, strong leadership skills, and a commitment to fostering an inclusive work environment.

Salary

$168,980.00 - $218,680.00; Discretionary annual bonus and stock-based long-term incentives; Paid time off and benefits package

Skills & Requirements

Must-have

  • AI/ML and Generative AI solutions
  • AWS and Databricks platforms
  • MLOps and LLMOps practices
  • Python-based tooling development
  • Agile delivery environment
  • Responsible AI and privacy embedding

Nice-to-have

  • Product centric approach
  • Continuous learning and iteration
  • Stakeholder leadership skills
  • Cross-functional team communication

Key Requirements

  • Bachelor’s degree with 10+ years or Master’s degree with 8+ years of experience
  • Significant experience leading technical delivery in Agile
  • Hands on experience as lead data scientist or AI/ML engineer
  • Strong understanding of ML methods and model validation
  • Hands on Generative AI experience
  • Experience with multi-model agentic AI
  • Practical understanding of MLOps and LLMOps
  • Experience with AWS, Databricks, and Python

Work Rights

Not specified

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