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Job Overview
Provide Analytics & Business Intelligence for Global Freight, Duty, and Inventory. Partner with regional Supply Chain Managers to identify opportunities and drive cost improvement / optimize logistics network. Partner with Finance to ensure all headwinds, tailwinds, and strategic project savings are incorporated in the financial forecast.
- Maintain & report KPIs related to Freight, Duty, Warehousing, and Inventory to drive stakeholder engagement & action
- Act as a liaison between regional supply chain leaders, Global Logistics, and Finance to collect known headwinds tailwinds, and cost reduction projects for inclusion in the quarterly consensus forecast
- Track attainment to forecast every month, including Pareto analysis of any misses & gap closure plan
- Challenge existing targets & identify opportunities for further improvements by partnering with the Global Logistic & Global Trade Services organizations
- Drive adherence & standardization in the Premium Freight approval workflow, including training, specific guidelines for customer liability, and data input and reconciliation at the regional level
- Identify and lead a project(s) that directly contributes to freight and/ or duty cost reduction
- Develop guidelines for inventory stocking strategy (Make-To-Stock / Make-To-Order), Safety Stock, Lot Sizes
- Lead Slow-Moving / Obsolete inventory cadence & drive actions to completion, including End-of-Life procedure
- Integrate with Corporate initiatives for inventory optimization (ABC/FMR, Healthy Stock methodology)
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What your background should look like:
- Bachelor's degree in Supply Chain Management, Business Administration, Information Systems, or a related field. A Master's degree is preferred
- Proven experience 5+ years of master data management, data governance, or a related field preferably in a supply chain planning environment.
- Strong knowledge of supply chain planning processes, including demand planning, inventory management, and production planning.
- Proficiency in utilizing master data management tools and systems (e.g., SAP MDG, Informatic MDM, etc.).
- Solid understanding of data governance principles, data quality management, and data lifecycle management.
Competencies
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork