Sr. Capacity Planner, ATO (Ads Trust Operations)

Ads Trust Operations protects advertising integrity across Amazon's ecosystem at massive scale, and capacity planning is the single point between operational excellence and service-level. We are hiring a Senior Capacity Planner to own short term forecasting, WFM tool strategy, interval-level scheduling, and headcount optimization across multiple Ad programs.

You will architect the capacity models that determine how thousands of enforcement actions get resourced daily, defend staffing proposals with mathematical precision, and drive the workforce planning infrastructure that underpins every productivity metric in the organization. If you treat data as a single source of truth and thrive when planning inputs change faster than planning cycles, this is your seat.

Key job responsibilities

1. Architect short-range capacity models (weekly/daily) using AHT, shrinkage, occupancy, and volume patterns; translate Finance-provided long-term forecasts into executable staffing plans.
2. Own end-to-end weekly capacity planning for Ad programs at locale level, including Peak planning.
3. Own roster planning (quarterly/monthly/weekly), applying fixed, rotating, and flexible shift strategies. Build interval-level schedules factoring peak hours, seasonality, labor laws, overtime, training, and non-productive activities.
4. Identify interval-level coverage gaps, partner with Operations on mitigation plans, and ensure multi-country labor law compliance including holiday planning.
5. Own end-to-end WFM platform maintenance: database, configuration, leave allowances, program onboarding, overtime reporting, and schedule adherence tracking.
6. Drive headcount optimization meetings; own headcount movement within the org. Develop automated staffing requirements. Deliver monthly reports (volumes, forecasts, headcount, AHT, shrinkage).
7. Defend headcount proposals with mathematical rigor. Maintain regular leadership connects on capacity updates, gaps, and risks.
8. Partner with Operations on SLA structures, recovery windows, and cross-trained pool availability. Drive root cause analysis for performance variances.