The Selling Partner Communities (SPC) organization builds lasting connections with and among our Selling Partners, helps drive their success, and ensures that public perception mirrors the reality that Amazon’s stores are a great place for our Selling Partners to build and maintain thriving businesses.
We are seeking an experienced, data-driven, systems-oriented Capacity Manager to lead and optimize our end-to-end planning and throughput strategy. This role is responsible for defining and maintaining gearing ratios, leading capacity forecasting efforts, and driving cross-functional alignment to ensure operational scalability. The ideal candidate has a background with demonstrated proficiency in advanced mathematics and/or statistics. They are comfortable creating strategic recommendations in a thoughtful yet concise manner and obtain organizational "buy-in" at senior levels. You will be at the center of how work is balanced across the SPC org, using your expertise to ensure that inputs across stakeholder teams and constraints are accurately reflected in planning models.
Key job responsibilities
• Own the capacity planning process end-to-end, from intake to execution readiness, including weekly and quarterly headcount planning across multiple workstreams and geographies
• Build short/long term operational plans for different global sites to optimize variable costs associated with staffing
• Define and maintain gearing ratios to align staffing and throughput capacity across dependent teams
• Build and operationalize planning mechanisms to proactively address seasonality initiatives, high-level policy changes and volume variability
• Partner with stakeholders to model throughput scenarios and identify bottlenecks, leveraging historical data and forecasted inputs
• Develop and manage dashboards and reporting tools to monitor capacity utilization and SLA adherence
• Lead regular capacity reviews with stakeholders, identifying gaps between forecasted demand and available bandwidth
• Drive continuous improvement initiatives to shorten planning SLAs and increase process automation
• Collaborate with Finance and Program stakeholders to align labor and budget assumptions for near- and long-range planning
