Description
**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)