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. • 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. • 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.