YOUR CHALLENGES

• Develop, implement, manage and improve capacity planning process incorporating all relevant external suppliers across X-tier levels identifying the individual constraints (eg: resources, subcomponents, etc) and providing transparency about excess/lack of capacities within the planning horizon and beyond 
• Orchestrating X-tier actions in order to handle ramp up/down scenarios of overall/individual markets or key accounts 
• Performs analysis on: 

          - forecast on component and supplier/resource level in order to indicate major developments and proactively identifies potentially impacted business (volume/BU/customer/region) in order to provide the relevant basis for S&OP meetings and decisions 

          - actual demand and forecasted demand (FC accuracy on MRP result), investigates on major deviations identifying and solving root causes 

          - identifying clusters/patterns in order to optimize capacity planning/strategy 

• Coordinate with cross-functional business teams to develop the best strategy to support customer demand 
• Communicate with external suppliers if needed for coordination & clarification in terms of relevant changes of FC 
• Trigger/coordinate implementation and change of planning strategies supporting relevant counterparts (eg.: PLSCM, Category mgmt., production and materials scheduling, etc.)  
• Coordinate and work with the relevant external counterparts (suppliers) as well as internal (cross-functional) departments to ensure and optimize fulfillment of forecasted volumes and required flexibility 
• Participates as a member of operations team making cross-functional operational decisions 

YOUR COMPETENCIES

• At least 5 years’ experience in planning of customer forecast, market intelligence and/or S&OP process 
• Working knowledge and understanding of ERP/MRP systems and their use in a manufacturing environment 
• Proficiency in Microsoft Office, including Word, Excel, PowerPoint and Access 
• Ability to demonstrate solid written and oral communication skills 
• Good analytical problem-solving ability  
• Data mgmt. skills beneficial: 
• Advanced analysis methods 
• Machine learning beneficial 
• Big data mgmt./analytics 
• Proficiency in English is required (German is a plus)