Global Operational Excellence Manager, Industrial Engineering

Tower Semiconductor is the leading foundry of high-value analog semiconductor solutions! We provide technology, development, and process platforms for more than 300 customers worldwide in growing markets such as consumer, industrial, automotive, mobile, infrastructure, medical and aerospace and defense, among others.

Job Description

• The Operational Excellence IE manager is leading the company global IE activities.
• The Operational Excellence IE manager with the Local IE leaders should drive the manufacturing to excellence, efficiency and effectiveness through best known methods and systems.
• Identify bottlenecks in every Fab and drive OEE improvements, to improve productivity, cycle time and on-time delivery to customers
• Establishing standardized analytical models in planning, KPI and WIP management areas.

Essential Duties and Responsibilities:

• Manage the corporate IE director’s forum
• Manage and lead cross functional global projects, from planning through implementation, for OEE improvement, budget control and savings, improved wip management, improved ergonomic and better operator efficiency, capex management, etc
• Set Global procedures for better operational management and monitor the compliance
• Lead corporate capacity management program
• Drive manufacturing excellence through benchmark study

This job is for you if

• You are uncompromisingly passionate about solving complexed problems using methods and data
• You have experience leading global cross functional teams in a dynamic and changing environments
• You are curios and strive for excellence in everything you do

Job Requirements:

• B.S Industrial Engineering or Systems Engineering degree required. Master's degree preferred
• Industrial engineering expert, extensive experience in Semiconductor’s environment
• Management experience
• Wide experience in manufacturing and operations management techniques required
• Ability to communicate with external and internal multi-cultural stakeholders
• Knowledge of Manufacturing Science (scheduling/dispatching, TOC, Lean, Push/Pull system, inventory management, capacity planning, etc.)
• High analytical skills and data driven
• Strong understanding of statistics, data analysis and problem-solving methodologies
• Ability to attend to details while keeping big picture in mind
• Experience in optimization, tool modeling and performance metrics preferred