Global Service Supply Planner

About the role

Edwards Technologies Vacuum Engineering (Qingdao) Company Ltd, part of the Semiconductor Service Division, is looking for a Global Service Supply Planner. The role strengthens the supply chain infrastructure of the global service business, acting as a link between Customer Centers, Product Companies and Distribution Centers. It involves allocating capacity efficiently, balancing supply and demand across manufacturing sites and keeping customer orders fulfilled on time.

Key responsibilities

• Manage supply with Product Companies and Distribution Centers: share KPIs, communicate demand changes, run recovery plans for shortages and coordinate constrained supplies to Regional Distribution Centers.
• Handle obsolete-from-manufacturing products, prepare for Service Information Bulletin releases and represent service demand forecasts to sourcing cells.
• Support materials planning and forecasting projects, build reporting tools and resolve planning discrepancies for spare parts.
• Review freight modes to lower freight costs without affecting delivery performance.
• Act as SAP super user: troubleshoot the system, maintain configuration parameters, support regional users and coordinate asset redeployment.
• Monitor inventory levels across divisions, adjust safety stock and service factors, and estimate Last Time Buy volumes with product managers.
• Run supply review meetings with Supply Team Coordinators and publish, analyze and investigate KPIs.

Required profile

• Bachelor's degree; postgraduate qualifications in Supply Chain Management or Logistics are highly advantageous.
• 3-5 years of progressive planning experience in global manufacturing environments.
• Fluent written and spoken English, able to write clear reports and give presentations.
• Ability to work in international, multicultural teams and to work independently with minimal supervision.
• Flexibility to work aligned with Western time zones and occasional international travel.

Required skills

• Advanced data analysis and interpretation of complex datasets.
• High proficiency in Microsoft Office, especially Excel; Power BI or similar tools preferred.
• SAP configuration and troubleshooting.