Spare Parts Inventory Manager, Reliability Maintenance Engineering (Integrated Spare Parts team)

Overview

In this role you will drive the global spare parts inventory strategy within Amazon’s Central Reliability Maintenance Engineering (RME) ISP team, focusing on nodal logistics and the carrier framework that keeps the network connected. You will lead cross-functional initiatives to improve traceability, optimize workflows, and reduce waste while boosting parts availability. You’ll shape vendor selection and service agreements in collaboration with procurement and ensure robust operational standards for shipments and receiving. This is a strategic, impact-focused position that links inventory, logistics, and process excellence at a global scale.

Responsibilities

• Drive availability and cost-efficiency of spare parts across locations
• Develop and execute the nodal spare parts strategy to optimize stock reallocations and availability
• Lead nodal cluster expansion activities, onboarding sites, and defining operational standards for nodes
• Define carrier framework requirements, selection criteria, coverage, service modes, SLAs, and performance scorecards
• Set shipment standards, packaging, inbound receiving, and escalation paths with supporting operating docs
• Maintain and improve spare parts data integrity, cataloging, sourcing attributes, and lifecycle information
• Analyze data and reports to identify opportunities, optimize processes, and implement changes
• Lead cross-functional process improvement projects to streamline workflows and improve tracking and accuracy

Key requirements

• Bachelor’s degree
• Advanced Excel (Pivot Tables, VLOOKUP)
• SQL
• Experience working cross-functionally with tech and non-tech teams
• Experience defining program requirements and using data/metrics to drive improvements
• Experience in program or project management
• Experience implementing repeatable processes and driving automation or standardization
• Experience defining and executing program requirements

• Cross-functional collaboration
• Stakeholder management
• Effective communication with diverse teams
• Advanced Excel
• SQL
• Data analysis

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