Global Capacity Planning Lead for Throughput & Growth

Amazon; Seattle (WA); On-site; USD 116,000 - 160,000; Full time

Benefits offered by this job

RSUs

Health insurance

Paid time off

Parental leave

Job summary

Amazon seeks an experienced Capacity Manager to lead end-to-end planning and throughput strategy across multiple global sites, ensuring scalable operations and data-backed decisions. The role focuses on gearing ratios, forecasting, and stakeholder alignment at senior levels.

You will develop planning mechanisms, model throughput scenarios, and drive continuous improvements in planning SLAs and automation, collaborating with Finance and Program teams to align labor and budget assumptions.

Qualifications

• 5+ years of program or project management experience.
• Experience using data and metrics to determine and drive improvements.
• Experience owning program strategy, end-to-end delivery, and communicating results to senior leadership.

Responsibilities

• Own the capacity planning process end-to-end, from intake to execution readiness across multiple workstreams and geographies.
• Build short/long term operational plans for global sites to optimize staffing costs.
• Define and maintain gearing ratios to align staffing and throughput capacity across dependent teams.
• Lead capacity reviews with stakeholders to close gaps between forecasted demand and available bandwidth.
• Develop dashboards and reporting tools to monitor capacity utilization and SLA adherence.

Skills

Program management

Data-driven decision making

Executive communication

Education

Master's degree or MBA

Tools

AI tools

Job description

Amazon seeks an experienced Capacity Manager to lead end-to-end planning and throughput strategy across multiple global sites, ensuring scalable operations and data-backed decisions. The role focuses on gearing ratios, forecasting, and stakeholder alignment at senior levels.

You will develop planning mechanisms, model throughput scenarios, and drive continuous improvements in planning SLAs and automation, collaborating with Finance and Program teams to align labor and budget assumptions.