About this role
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world’s most complex challenges and leads the way in creating a safer, cleaner, and smarter world.
More details about our company benefits can be found here:
https://www.onsemi.com/careers/career-benefits
Sr. Manager AI & Data Science
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.
• 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.
Requirements:
• 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. • Proven experience deploying AI/ML solutions in production environments. • Strong knowledge of cloud platforms (Azure preferred), MLOps, and data governance. • Excellent communication and stakeholder management skills. • Experience in semiconductor, manufacturing, or industrial domains is a plus.
Preferred Knowledge and Experience:
• Semiconductor industry experience. • Experience with tools like Databricks, Azure ML, and Snowflake. • Understanding of ERP platform and experience in enabling AI in business functions like sales, HR, finance, operations, etc. • Understanding of AI security and compliance frameworks.
Competencies:
• Self-motivated, able to multitask, prioritize, and manage time efficiently • Strong problem-solving skills • Data analysis skills. Ability to analyze complex data and turn it into actionable information • Collaboration and teamwork across multiple functions and stakeholders around the globe • Flexibility and adaptability • Process management / process improvement • Drive for results, Able to work under pressure and meet deadlines