onsemi is 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.
Requirements
- Proven experience deploying AI/ML solutions in production environments.
- Strong knowledge of cloud platforms (Azure preferred), MLOps, and data governance.
- Experience with tools like Databricks, Azure ML, and Snowflake.
- Understanding of AI security and compliance frameworks.
- Expertise in transformer-based models, retrieval-augmented generation (RAG), and vector databases will be instrumental in driving innovation.
- 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.
- 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.
- Shaping workflows using tools like LangGraph, Azure Machine Learning, Databricks, and MLflow.
Other
- Master’s or PhD in Computer Science, Data Science, Statistics, or a related field.
- 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
