Last Mile Supply Chain Manager, Last Mile Demand Forecasting

Join Amazon Logistics as a Supply Chain Manager and help plan the capacity that keeps millions of packages moving to customers across North America. You'll take demand forecasts and turn them into capacity plans that make sure we have the right resources in the right places at the right time. In this role, you'll work with planning teams across Retail to solve real supply chain challenges. Your forecasts and capacity adjustments will directly impact our ability to deliver on our customer promise. You'll own demand forecasting for a rapidly growing logistics network, working across multiple teams to optimize how our network performs. Using advanced forecasting tools and systems, you'll make data-driven decisions at scale and shape the future of last-mile delivery through smart planning and continuous improvement. The impact you'll make is significant. You'll turn demand signals into capacity plans that balance efficiency with customer experience, mitigate capacity constraints before they impact delivery performance, and partner with technical teams to improve forecasting accuracy and planning systems. Your work will influence decisions that affect Amazon's logistics operations across North America. If you're passionate about supply chain optimization, thrive in fast-paced environments, and want to see the direct impact of your work on millions of customers, this is your opportunity to make a difference at scale. Key job responsibilities You'll develop and maintain accurate demand forecasts for your assigned region by analyzing historical data, market trends, and business inputs from cross-functional partners. You'll translate these forecasts into detailed capacity plans that ensure our delivery network has the right resources to meet customer demand while optimizing efficiency. You'll collaborate closely with retail planning teams and technology teams to gather inputs, validate assumptions, and align on capacity requirements. This includes regularly reviewing forecast accuracy, identifying gaps between planned and actual performance, and making real-time adjustments when business conditions change. A critical part of your role involves monitoring system configurations and making necessary adjustments to ensure forecasts flow correctly through planning systems. You'll troubleshoot discrepancies, resolve data quality issues, and partner with technical teams to improve forecasting tools and processes. You'll communicate forecast insights and capacity recommendations to leadership through regular business reviews, explaining variances and providing data-driven recommendations for network optimization. Throughout all of this, you'll drive continuous improvement in how we forecast demand and plan capacity across the logistics network. A day in the life Your week centers on publishing a 13-week demand plan that keeps Amazon's last-mile delivery network running. You start by analyzing demand signals, interrogating trends, and evaluating forecast accuracy using ML forecasting models. Mid-week, you collaborate with technology and data science teams to enhance forecasting models and align field partners on plan changes. As publication approaches, you finalize your forecast, communicate risks to leadership, and coordinate high-volume event planning. When curveballs hit—demand spikes, system issues—you diagnose root causes with data and drive solutions fast. Your expertise in data analysis and forecasting science plays a vital role in delivering for customers every day.

You'll join a diverse team of problem solvers who thrive on collaboration and collective success. Our mission is to deliver accurate capacity plans that keep millions of packages moving to customers across North America. You'll work closely with teammates and cross-functional partners in retail planning, technology, and field operations to solve real-time capacity constraints and optimize network performance. While we tackle challenges together, this role