Job Description

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


#LI-RG1

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

We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.

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 #LI-RG1

Key Responsibilities

1. 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.


2. Collaborate with business domain managers to define product requirements and identify AI opportunities.


3. Oversee data science project lifecycles, from ideation to production, ensuring alignment with business goals and technical feasibility.


4. Ensure compliance with onsemi's Responsible AI Use and Governance Policies, including data privacy, model transparency, and ethical use.


5. Partner with IT, data engineering, and business teams to ensure end to end project delivery & execution.


6. Mentor and grow a team of AI, data scientists and machine learning engineers.


7. Represent the AI function in executive forums and cross-functional steering committees.


#LI-RG1