Role Overview The Parts Warehouse Manager is responsible for overseeing the incoming, storage, inventory control, and distribution of spare parts and components across multiple brands and models. This role ensures optimized stock levels of both OEM (Original Equipment Manufacturer) and OES (Original Equipment Supplier) parts, efficient warehouse operations, and timely availability of parts to DriveX’s refurbishment operations as well as aftermarket support and dealer sales. Business horizon covers around maintaining 20K SKUs and serving more than 100 MMVs Key Responsibilities • Receiving & Dispatch: Oversee incoming supplies (verify quantity, quality, brand/model compatibility, and documentation) and outgoing dispatches to internal teams, dealers and customers. • Inventory Control: Maintain accurate records of parts inventory, ensuring optimal stock levels to meet demand from various channels mentioned. • Multi-Brand, Multi-Model Stocking: Stock, and manage OEM and OES parts across multiple vehicle brands and models, ensuring the right part is available for the right make/model to avoid refurbishment delays or mismatches without any over/under stocking. • Refurbishment Support: Align parts availability for refurbishment processes thru a digitally controlled parts issuance control system (A blend of manufacturing and service systems) for a faster turnaround of vehicles from refurbishment/repair bays. Ad hoc requirements are also fulfilled with full agility and accuracy. • Warehouse organization: Design and maintain an efficient storage layout (racking, bin locations, labeling by brand/model/part category) for easy identification and retrieval of parts across a diverse multi-brand and multi model inventory. • Stock Audits: Conduct regular cycle counts and physical inventory audits; reconcile discrepancies between system records and physical stock across all brands/models stocked carry out PDCA for gaps. • Team management: Manage warehouse staff — hiring, training, skill development, and performance management. • Safety & Compliance: Ensure warehouse operations comply with safety regulations, handling procedures, and company policies. • Systems Management: Utilize inventory/warehouse management software (WMS/ERP) to track stock movement by brand/model/SKUs, generate reports, and forecast demand. Analyse the data for PDCA and continuous improvement in efficiency and inventory cost. • Cost Control: Monitor and minimize costs related to storage, shrinkage, damage, over/under stocking and obsolete inventory — particularly slow-moving parts for niche brands/models. • Reporting: Provide regular reports to management on inventory levels, brand/model-wise turnover rates, order fulfilment, and operational KPIs. • Cross-functional Collaboration: Coordinate with refurbishment, service, planning, finance and QC teams to ensure multi-brand parts availability aligns with refurbishment schedules, volumes and company governance systems. Requirements Requirements • Bachelor’s degree in supply chain management, Logistics, Warehouse management, or related field (or equivalent experience). • 10-15 years of experience in warehouse/inventory management, preferably in an automotive refurbishment, multi-brand service, or parts distribution environment. • Proficiency in inventory/warehouse management software (SAP, Oracle, Tally, or similar ERP systems), ideally with multi-brand SKU management capability. • Strong organizational and problem-solving skills. • Leadership experience managing warehouse teams. • Familiarity with safety standards and warehouse equipment (MSDS, forklifts, pallet jacks, etc.). Preferred Attributes • Experience with parts classification systems across multiple brands (SKU management, part numbering, cross-referencing OEM/OES equivalents). • Knowledge of demand forecasting and just-in-time inventory practices in a multi-brand, multi-model environment. • Prior exposure to a vehicle refurbishment or service-center setup where part availability directly impacts turnaround time. • Detail-oriented with strong analytical skills for data-driven decision-making. • Ability to work under pressure in a fast-paced, high-volume environment.