We are seeking an AI Product Owner Leader to own the strategy, development, and lifecycle of AI-driven products within global operations. This role bridges business, operations, and IT teams to deliver AI solutions.
The AI Product Owner Leader defines the vision and roadmap for AI products, prioritizes use cases based on business impact, and ensures AI models are built, deployed, and scaled effectively in production environments.
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
- Master's or PhD degree in Engineering, Computer Science, Data Science, Business, or a related field.
- 10+ years of experience in product management, product ownership, or digital transformation roles with 5+ years in a leadership role
- Proven experience delivering AI/ML or advanced analytics solutions in manufacturing or industrial environments.
- Strong understanding of semiconductor manufacturing processes and data ecosystems.
- Excellent communication skills with the ability to translate technical concepts into business value.
- Define and own the vision, roadmap, and success metrics for AI products supporting global operations
- Identify and prioritize high-impact AI use cases such as yield optimization, defect detection, predictive maintenance, and demand forecasting.
- Translate business objectives into clear product requirements, user stories, and acceptance criteria for AI solutions.
- Serve as the primary liaison between business stakeholders, process engineers, statisticians, and IT teams.
- Oversee the development, training, deployment, and monitoring of AI/ML models in collaboration with technical teams.
- Monitor model performance and business outcomes, driving continuous improvement.
- Define KPIs to measure business impact (e.g., yield improvement, tool uptime, scrap reduction, cycle time).
- Communicate progress, outcomes, and risks to executive leadership.
- Ensure AI products comply with data governance, IP protection, security standards, and regulatory requirements.
- Manage a team of global operations AI product owners
- Define and own the vision, roadmap, and success metrics for AI products supporting global operations
- Identify and prioritize high-impact AI use cases such as yield optimization, defect detection, predictive maintenance, and demand forecasting.
- Translate business objectives into clear product requirements, user stories, and acceptance criteria for AI solutions.
- Serve as the primary liaison between business stakeholders, process engineers, statisticians, and IT teams.
- Oversee the development, training, deployment, and monitoring of AI/ML models in collaboration with technical teams.
- Monitor model performance and business outcomes, driving continuous improvement.
- Define KPIs to measure business impact (e.g., yield improvement, tool uptime, scrap reduction, cycle time).
- Communicate progress, outcomes, and risks to executive leadership.
- Ensure AI products comply with data governance, IP protection, security standards, and regulatory requirements.
- Manage a team of global operations AI product owners