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Sr. Manager AI & Data Science

onsemi

Salary not specified
Aug 26, 2025
Scottsdale, AZ, USA
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onsemi is looking to accelerate AI/ML adoption to deliver business value by building and scaling core AI and ML platforms, managing cross-functional initiatives, and ensuring responsible AI governance.

Requirements

  • Guiding architectural decisions, ensuring AI safety, and shaping workflows using tools like LangGraph, Azure Machine Learning, Databricks, and MLflow.
  • Expertise in transformer-based models, retrieval-augmented generation (RAG), and vector databases.
  • Strong knowledge of cloud platforms (Azure preferred), MLOps, and data governance.
  • Proven experience deploying AI/ML solutions in production environments.
  • Experience with tools like Databricks, Azure ML, and Snowflake.
  • Understanding of AI security and compliance frameworks.
  • Ability to analyze complex data and turn it into actionable information

Responsibilities

  • Provide Technical Leadership: Steer the team through critical architectural decisions spanning the full AI/ML stack—from foundational infrastructure like model registries, CI/CD pipelines, and feature stores, to advanced orchestration and observability frameworks for LLMs using tools such as LangGraph, MLflow, Azure ML, and Databricks.
  • Collaborate with business domain managers to define product requirements and identify AI opportunities.
  • Oversee data science project lifecycles, from ideation to production, ensuring alignment with business goals and technical feasibility.
  • Ensure compliance with onsemi’s Responsible AI Use and Governance Policies, including data privacy, model transparency, and ethical use.
  • Partner with IT, data engineering, and business teams to ensure end to end project delivery & execution.
  • Mentor and grow a team of AI, data scientists and machine learning engineers.
  • Represent the AI function in executive forums and cross-functional steering committees.

Other

  • 10–15 years of experience in AI/data science, with at least 5 years in a leadership role.
  • Excellent communication and stakeholder management skills.
  • Experience in semiconductor, manufacturing, or industrial domains is a plus.
  • Self-motivated, able to multitask, prioritize, and manage time efficiently
  • Collaboration and teamwork across multiple functions and stakeholders around the globe