Senior Industrial Engineer

The Global Industrial Engineering organization is seeking a Senior Industrial Engineer to support manufacturing optimization, capacity planning, advanced analytics, and digital transformation initiatives across onsemi's global manufacturing network. This position plays a key role in developing analytical solutions, capacity models, and decision-support tools that improve factory performance, resource utilization, and operational effectiveness.

The successful candidate will work closely with Manufacturing Operations, Supply Chain, Planning, and Engineering teams to drive data-driven decision making and continuous improvement initiatives across multiple manufacturing sites.

Responsibilities
- Develop and maintain manufacturing capacity models for strategic and operational planning.

- Perform analysis of factory utilization, cycle time, throughput, bottlenecks, and production performance.

- Design, develop, and maintain dashboards, automated reporting solutions, and analytical tools.

- Support manufacturing planning, capacity forecasting, and scenario analysis.

- Identify and implement opportunities to improve productivity, efficiency, and asset utilization.

- Collaborate with global site teams to support operational excellence and continuous improvement initiatives.

- Analyze large datasets and provide actionable recommendations to leadership.

- Support deployment of Industrial Engineering methodologies and best practices across manufacturing sites.

- Participate in digital transformation initiatives involving analytics, optimization, and automation solutions.

- Work cross-functionally with Operations, Supply Chain, Engineering, and IT teams to support strategic business objectives.

Qualifications
- Bachelor's or Master's degree in Industrial Engineering, Operations Research, Manufacturing Engineering, Data Science, or a related field.

- Experience in manufacturing analytics, capacity planning, and optimization.

- Proficiency in SQL, Python, Power BI, Tableau, or similar analytics tools.

- Strong analytical, problem-solving, and communication skills.

- Semiconductor manufacturing experience preferred.

- Knowledge of queuing theory and manufacturing flow analysis.

- Wafer fabrication (Wafer Fab) experience preferred.

- Experience with capacity modeling, simulation, and operational research techniques is a plus.

- Ability to work effectively with cross-functional teams in a global manufacturing environment.

- Experience developing dashboards, automated reporting solutions, and data-driven decision support tools preferred.