Sr Capacity Planning Manager, Verifications & Risk Management Ops

Amazon Amazon · Big Tech · IN, KA, Bengaluru · Corporate Operations

This role is for a Sr. Capacity Planning Manager at Amazon, focusing on forecasting and optimizing resource utilization for Verifications & Risk Management Operations. While the role emphasizes leveraging AI and ML in planning models and driving AI/ML implementation, the core function is capacity planning and operational management, not direct AI/ML model development or deployment.

What you'd actually do

  1. This role will be responsible for analysing staffing needs, forecasting future requirements, and inspecting forecast patterns and injects, ensuring optimal workforce utilization and cost.
  2. Candidate will possess leadership experience in i) strategic headcount planning framework and enabled teams to build task level capacity at the lowest grain of intervals/languages, ii) Opex budgeting, and iii) forecasting domain with an appetite to constantly engage through AI and improve the planning models.
  3. Build best in class mechanisms, thus, enable a high performing global team to not only innovate through AI but also drive high impact cost cutting initiatives.
  4. Partner with diverse stakeholders including Corporate Legal, HR, Finance, Recruitment, associated Planning teams, Expansions/GREF, Risk & Compliance, Product and Operations leaders to maintain a resilient and adaptable network, through projects both real-time and strategic, that supports and aligns with our org’s vision and growth
  5. Lead long-term capacity planning initiatives

Skills

Required

  • Strategic headcount planning framework
  • Opex budgeting
  • Forecasting domain
  • Leadership experience
  • Data analysis and interpretation
  • Stakeholder management
  • Crisis management and problem-solving
  • Executive communication

Nice to have

  • Machine learning driven models
  • Regression
  • E-commerce & quick-commerce driver injected forecasts

What the JD emphasized

  • constantly engage through AI and improve the planning models
  • innovate through AI
  • GenAI driven situations
  • inspect the new-age forecasting models (like machine learning driven models, regression, e-commerce & quick-commerce driver injected forecasts, etc.)
  • Build futuristic business models for seamless capacity planning through AI/ML architecture
  • Drive AI/ML implementation in planning processes