Reverse Logistics AI Hardware Planner

Amazon Inc.; Florence (KY); On-site; USD 80,000 - 139,000; Full time

Job summary

re:Cycle Reverse Logistics, an Amazon-affiliated electronics processing and recycling company, seeks a Supply Chain Manager to develop forecasts across the FA Lab lifecycle from inbound planning to dispositioning.

You will partner with Operations, Finance, Engineering, and Analytics to translate demand signals into actionable plans, drive throughput, and optimize capacity in a fast-paced reverse logistics environment.

Qualifications

• Bachelor's degree required; field specified or related.
• 4+ years of procurement, supply chain, inventory, contract mgmt, lease administration or operations experience.
• Experience in global supply chain mgmt and cross-functional teams in consumer electronics.

Responsibilities

• Develop and maintain weekly, monthly, quarterly, and multi-year S&OP forecasts for FA Lab lifecycle.
• Coordinate with stakeholders to align plans with demand and capacity constraints.
• Manage and communicate supply plans ensuring commitments are met and variances addressed.
• Build planning models forecasting throughput of AI hardware components through lab workflows.
• Lead monthly S&OP: demand/supply inputs, reviews, and action items.
• Incorporate capacity, labor, and process constraints into assumptions.
• Develop scenario-based planning for decision-making and what-if analyses.
• Collaborate with finance on budgeting, cost models, and financial planning.
• Identify process improvements and scalable tools to enhance forecast reliability.

Education

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

Tools

Advanced Excel

SQL

Tableau

Python

Job description

re:Cycle Reverse Logistics, an Amazon-affiliated electronics processing and recycling company, seeks a Supply Chain Manager to develop forecasts across the FA Lab lifecycle from inbound planning to dispositioning.

You will partner with Operations, Finance, Engineering, and Analytics to translate demand signals into actionable plans, drive throughput, and optimize capacity in a fast-paced reverse logistics environment.