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

Amazon Web Services (AWS); Florence (KY); On-site; USD 80,000 - 139,000; Full time

Job summary

Amazon Data Services, Inc. is seeking a Supply Chain Manager to develop and maintain forecasts across multiple horizons for AI hardware components in the FA Lab, guiding inbound planning, testing, sparing, and dispositioning.

You will translate demand signals into actionable operational plans to drive throughput and on-time delivery of spare parts to the fleet. The role requires strong cross-functional communication, prioritization across a global network, and building scalable planning

Qualifications

• Bachelor's degree in Business Administration, Finance, Economics, Computer Science, or a related field.
• 4+ years of procurement, supply chain, inventory management, contract management, lease administration or operations experience.
• Experience in global supply chain management, managing cross-functional teams in a fast-paced consumer electronics product company.
• Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python.
• Experience building and managing financial models for business forecasting and problem solving, or experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results.

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

Skills

Advanced Excel

SQL

Tableau

Python

Education

Bachelor's degree in Business Administration, Finance, Economics, Computer Science, or a related field

Master's degree in Business Administration, Finance, Economics, Computer Science, or a related field

Tools

Tableau

Job description

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.

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!

Basic Qualifications

• Bachelor's degree in Business Administration, Finance, Economics, Computer Science, or a related field
• 4+ years of procurement, supply chain, inventory management, contract management, lease administration or operations experience
• Experience in global supply chain management, managing cross-functional teams in a fast-paced consumer electronics product company
• Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python
• Experience building and managing financial models for business forecasting and problem solving, or experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results

Preferred Qualifications

• 4+ years of program, project, product management, or leading a product implementation process experience
• Master's degree in Business Administration, Finance, Economics, Computer Science, or a related field
• Experience in program, project, product management, or leading a product implementation process
• Experience in data centers, infrastructure service providers, or related technology companies

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, KY, Florence - 79,500.00 - 139,100.00 USD annually

Company

- Amazon Data Services, Inc.

Job ID: A10537035