VIS

Manager/ Senior Section Manager, Industrial Engineering (Ref: 260500163)

VIS
Foundry OperationsSingaporeOnsitePosted 3 weeks ago

About the role

This role leads industrial engineering functions in a semiconductor fab, focusing on capacity planning, productivity optimization, and driving continuous improvement. The manager coaches engineers, develops capacity roadmaps, and liaises with production planning to ensure growth targets are met.

FoundryOnsiteManufacturing

Key Responsibilities

  • Provide day to day leadership in execution of key initiatives in the functional industrial engineering areas.
  • Coach engineers in execution of daily tasks in Industrial Engineering functions.
  • Identify improvement areas within the capacity & productivity planning functions and drive necessary enhancements.
  • Drives Capacity roadmap that enables to consistent growth in revenue and growth.
  • Responsible for factory capacity and productivity planning.
  • Complete capacity scenario analysis to identify performance requirements and/or future capital needs.
  • Ensure execution of committed long-term growth plans and drive gap closure to commitments.
  • Communicate and liaise with factory production planning and factory management on tactical factory loading commitments.
  • Benchmark with best-in-class fabs and implement best knowledge methods to improve current processes.

Requirements

  • Bachelor's or master's degree in industrial engineering, Manufacturing Engineering, or a related field.
  • Minimum 10 years of experience in semiconductor manufacturing, with strong exposure to wafer fab operations; at least 5 years in a leadership role.
  • Proven experience in capacity planning, cycle time management, WIP control, and productivity optimization within a fab environment.
  • Strong knowledge of IE methodologies, including line balancing, bottleneck management, and cost modelling.
  • Proficient in data analysis tools and systems (e.g., JMP, SQL, Tableau/Power BI, MES such as PROMIS).
  • Strong analytical, problem-solving, and decision-making skills with a data-driven mindset.
  • Demonstrated leadership capability in managing cross-functional teams and influencing stakeholders at all levels.
  • Excellent communication and presentation skills, with the ability to translate complex data into actionable insights.
  • High level of accountability, adaptability, and ability to thrive in a fast-paced manufacturing environment.