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Supply Chain Manager, Reverse Logistics , Planning, Re:Cycle Reverse Logistics

Amazon.com Inc
  • Florence, KY
    3 days ago

    Job Description

    As the Supply Chain Manager, you will be responsible for developing and maintaining forecasts across varying time-horizon granularity that capture the full lifecycle of AI hardware components flowing through our FA Lab - from inbound volume planning and sorting through testing, repair, sparing, and dispositioning. You will partner closely with Operations, Leadership, Finance, Engineering, Systems and Analytics teams to translate customer demand signals into actionable operational plans that drive throughput, optimize capacity utilization, and ensure on-time delivery of spare parts back to the fleet. This role requires strong cross-functional communication skills, the ability to manage competing priorities across a global network, and a passion for building repeatable, scalable planning processes in a fast-paced reverse logistics environment.

    Key job responsibilities

    • Develop and maintain weekly, monthly, quarterly, and multi-year S&OP forecasts that capture volume across the full FA Lab lifecycle
    • Coordinate with cross-functional stakeholders to align operational plans with customer demand and capacity constraints
    • Manage and communicate supply plans to internal and external customers, ensuring commitments are met and variances are identified and addressed proactively
    • Build and refine planning models that forecast throughput of AI hardware components (e.g., GPUs, accelerators, memory modules) through Failure Analysis lab workflows
    • Drive the monthly S&OP process by preparing demand and supply inputs, facilitating planning reviews, and documenting consensus plans and action items
    • Partner with operations teams across global facilities to understand capacity, labor, and process constraints and incorporate them into planning assumptions
    • Develop scenario-based planning to support strategic decision-making, including what-if analyses
    • Collaborate with finance teams to align operational plans with budgeting cycles, cost models, and quarterly/yearly financial planning
    • Identify process improvement opportunities within the planning function and implement scalable tools and frameworks to enhance forecast reliability and planning efficiency
    • Communicate planning insights and recommendations to leadership through clear, data-driven narratives and executive-ready reporting

    A day in the life

    re:Cycle Reverse Logistics is looking for a detail-oriented, analytically driven Supply Chain Manager to join our Planning team in support of our Failure Analysis (FA) Lab operations. In this role, you will serve as the central business and operations planning coordinator for machine learning hardware repair workflows, partnering with cross-functional stakeholders both internal and external to the organization to align operational capacity with customer demand. Our mission is to manage and scale information technology asset disposition (ITAD) services through secure and environmentally sustainable practices supporting asset recovery, reuse, recycling, and other circular economy initiatives.

    About the team

    re:Cycle Reverse Logistics is an electronics processing, reuse, and recycling company that works to extend the life of used electronic equipment through reuse, repair, and recycling. We are a stand-alone company within the Amazon corporate family that provides services to other Amazon companies. We specialize in the handling of valuable electronic equipment that was originally used in data centers. Come join our team and be a part of history as we deliver results for the largest cloud services company on Earth!

    Numbers & Facts

    LocationFlorence, KY
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

    Skills

    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Asset Disposalunmatched
    • Budget Managementunmatched
    • Business Operationsunmatched
    • Capacity Utilizationunmatched
    • Centralized Operations/Managementunmatched
    • Cloud Computingunmatched
    • Communication Skillsunmatched
    • Cost Modelingunmatched
    • Cross-Functionalunmatched
    • Decision Supportunmatched
    • Demand Forecasting/Planningunmatched
    • Detail Orientedunmatched
    • Documentationunmatched
    • Electronicsunmatched
    • Failure Analysisunmatched
    • Financeunmatched
    • Financial Planningunmatched
    • Forecastingunmatched
    • GPU (Graphics Processing Unit)unmatched
    • Green Businessunmatched
    • Hardware Componentsunmatched
    • Hardware Repairunmatched
    • Laboratory Operationsunmatched
    • Leadershipunmatched
    • Logisticsunmatched
    • Logistics Managementunmatched
    • Machine Learningunmatched
    • Management of Information Systems/Technology (MIS)unmatched
    • Memory Hardwareunmatched
    • Network Operations Centerunmatched
    • Operations Planningunmatched
    • Organizational Skillsunmatched
    • Process Developmentunmatched
    • Process Improvementunmatched
    • Recyclingunmatched
    • Sales & Operations Process (S&OP)unmatched
    • Scalable System Developmentunmatched
    • Supply Chain Managementunmatched
    • Systems Analysisunmatched
    • Testingunmatched
    • Time Managementunmatched
    • Vehicle Fleetsunmatched
    • Volume Planningunmatched
    • Workflow Analysisunmatched

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