Responsable de la gouvernance des données maîtres, de l'analyse des stocks et de la planification de la demande dans un environnement multisite de recyclage des métaux.
Compensation
Competitive salary and benefits
Responsibilities
Gouvernance des données maîtres des articles dans IBM Maximo
Administration du catalogue: Gérer le cycle de vie complet des numéros d’UGS (SKU) d’inventaire
Standardisation et structure: Faire respecter des conventions de nomenclature rigoureuses
Gestion des nomenclatures (BOM)
Nettoyage des données
Requirements
Bachelor’s degree or professional college diploma in Supply Chain Management, Operations Logistics, Data Analytics, or a related field
The Specialist bridges the gap between operational asset maintenance and database integrity. He will be the sole custodian of the enterprise asset management platform (such as IBM Maximo) inventory catalog, ensuring that every SKU, bill of materials (BOM), and material asset attribute is precisely maintained. Concurrently, he will leverage consumption analytics to design, adjust, and optimize demand planning profiles, ensuring our industrial operations never stall due to a missing component, while keeping working capital lean.
Compensation
Competitive salary and benefits
Responsibilities
Direct the full lifecycle (creation, validation, modification, and archiving) of inventory SKU numbers across a multi-site environment.
Enforce strict naming conventions, asset hierarchies, unit of measure (UOM) conversions, Min-EOQ, and commodity classifications for all spares, wear parts, and metal categories.
Build and audit Bill of Materials (BOMs) and rotating item links within Maximo to cleanly map components back to specific shredders, shears, and heavy fleets.
Run routine data-quality audits to eliminate duplicate entries, correct description irregularities, and ensure vendor cross-references are pristine.
Compute and adjust optimal Reorder Points (ROP), Safety Stock volumes, and Min/Max levels inside enterprise asset management platform (such as IBM Maximo) based on lead times and seasonal volume fluctuations.
Requirements
Bachelor’s degree or professional college diploma in Supply Chain Management
Bachelor’s degree or professional college diploma in Operations Logistics
Bachelor’s degree or professional college diploma in Data Analytics