Job Description
Role & Responsibilities:
- Integrate and maintain all material planning parameters in SAP ERP-system.
- Primary focus will be to manage all project objectives associated with the Kinaxis through SAP- Project/Implementation through completion, while assisting on specific focus area within SAP.
- Manage and improve inventory performance, measured in Days-of-Supply (DOS) and Inventory COGs, for the Mishawaka site.
- Management of purchased raw material, WIP and some finished goods inventories.
- Continue the Plan-for-Every Part (PFEP) for all regularly used materials with, among others, the following major elements:
o Planning Strategy (i.e. Kanban, MRP)
o Optimal safety stock and target inventory levels
o Replenishment practices and cost optimized re-order strategies.
- Identify inventory risks, such as obsolescence, expiry and improvement opportunities, including raw material buying and rounding value improvements. Create and drive projects to completion for the Materials Management group.
- Implement replenishment pull-systems (i.e. Kanban, Vendor Managed Inventory) where possible.
- Work closely with the following departments on execution of inventory improvement strategies:
o Tactical/Operational and Strategic Procurement
o Warehousing
o Global Planning
o Finance
- Regularly report inventory performance and improvement strategies to management and peers, in some cases weekly/monthly, while developing dashboards for communication.
- Participate in the monthly Sales, Inventory and Operations Planning meeting.
- Become local expert to assist buyers in execution of Good Receipts/Invoice Receipt clearing
Required Qualifications:
- Bachelor degree or college diploma in Economics, Business Administration or closely related field is a plus.
- Experience with SAP a requirement
- Experience with Kinaxis would be a benefit
- Excellent working knowledge of Microsoft Excel and PowerPoint is required.
- Experience with Project and database programs would be a plus
- Must be familiar with critical elements of statistical risk analysis, such as Standard Deviations, Service Levels, Trend Analysis, Cumulative Yield Analysis.