Take the lead in capacity planning as an Engineer II on Seagate's Industrial Engineering team. Utilize your advanced skills in Python and Power BI to drive operational improvements.
You will report to the Industrial Engineering Manager while leading AI transformation initiatives in factory planning. This position requires a background in industrial engineering and manufacturing, with at least 5 years of experience in high-volume production. Your role will involve collaboration with equipment owners and cross-functional teams to ensure dynamic capacity models and support strategic business goals.
Key Responsibilities:
• Spearhead AI projects in capacity and capital planning
• Collaborate on maintaining accurate capacity planning assumptions
• Drive cross-functional teamwork to meet business objectives
• Aid in factory budget and long-term forecasts
• Align work with Seagate’s operational metrics
Requirements:
• Bachelor’s degree in Engineering, Management, or ...