Sr. Manager AI & Data Science

onsemiScottsdale, AZ
22h

About The Position

We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions across onsemi’s global operations. This role will be responsible for building and scaling the core AI and ML platforms, managing cross-functional initiatives, and ensuring responsible AI governance in alignment with onsemi’s policies. You will report to the Sr. Director of AI & Automation and collaborate to execute on the vision to accelerate AI/ML adoption to deliver business value. We’re looking for a hands-on leader who thrives at the intersection of strategy and execution. As a player-coach, you’ll be deeply involved in the technical details—guiding architectural decisions, ensuring AI safety, and shaping workflows using tools like LangGraph, Azure Machine Learning, Databricks, and MLflow. Your expertise in transformer-based models, retrieval-augmented generation (RAG), and vector databases will be instrumental in driving innovation. But your true impact will come from leadership. You’ll foster a high-performance culture rooted in technical excellence, accountability, and clarity. By mentoring a team of data scientists and machine learning engineers, you’ll help turn ambitious AI roadmaps into scalable, production-ready solutions that power onsemi’s digital transformation.

Requirements

  • Expertise in transformer-based models
  • Expertise in retrieval-augmented generation (RAG)
  • Expertise in vector databases

Responsibilities

  • Building and scaling the core AI and ML platforms
  • Managing cross-functional initiatives
  • Ensuring responsible AI governance in alignment with onsemi’s policies
  • Guiding architectural decisions
  • Ensuring AI safety
  • Shaping workflows
  • Mentoring a team of data scientists and machine learning engineers
  • Turning ambitious AI roadmaps into scalable, production-ready solutions

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What This Job Offers

Job Type

Full-time

Career Level

Manager

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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