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Apple CapEx Operations Program Manager 
China, Guangdong Province, Shenzhen 
638781868

18.11.2024
Description
- Create and maintain project schedules. Provide timely issue resolution and critical path activities- Offer multiple levels of status updates across a wide spectrum of individual projects to executive management.- Lead equipment repair process improvement to minimize downtime and spares parts/Calibration planning to fulfill production needs.
Minimum Qualifications
  • - A Bachelor's Degree or equivalent experience in a technical field with at least 5 years of program management experience that involves tactical coordination (scope, schedule & resource management) of multiple concurrent projects
  • - Experience in other sophisticated capital equipment such as military, aerospace, automotive, High-Volume Manufacturing Industrial, etc.
  • - Detailed knowledge technical aspect as well as a strong understanding of manufacturing processes, Experience in leading capital equipment planning, repair and cost reduction area are preferable
Preferred Qualifications
  • - Solid understanding of economic metrics such as NPV, return on investment, etc, and their application to program management.
  • - Familiarity with high-Volume Manufacturing capital equipment and their application to manufacturing processes.
  • - Experience managing projects within a defined stage-gate project development process.
  • - Demonstrated experience in lean design methodologies.
  • - PMP certification desirable. Demonstration of equivalent knowledge is required if not certified.
  • - Excellent communication, interpersonal and leadership skills. Ability to filter and distill relevant information for the right audience
  • - Ability to deal with rapid development cycles & remains flexible and calm in the face of ambiguity
  • - Ability to resolve tough situations and drive compromise.
  • - Proficiency using Microsoft Project Or OmniPlan at the enterprise level.
  • - Proficiency using Excel, Keynote is must.
  • - Experience in massive data analysis, coding and machine learning would be a plus.