Sr. Manager AI & Data Science

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