Sr. Business Planning Lead, Aws Specialist and Partner Sales Operations

Amazon Amazon · Big Tech · Seattle, WA · Corporate Operations

This role is for a Sr. Business Planning Lead within AWS Sales, Marketing, and Global Services Operations. The primary focus is on workforce planning, resource allocation, and operational effectiveness, with an emphasis on leveraging AI-enabled tools and processes to improve planning accuracy, automate workflows, and generate insights. While the role utilizes AI tools, it does not involve building or shipping AI models.

What you'd actually do

  1. Lead cross-SMGS resource planning initiatives — including tool and mechanism launches — from design through adoption, serving as a strategic partner to ASP Leadership, HR, Recruiting, Finance, and Data Engineering.
  2. Develop and continuously refine headcount planning strategies that optimize resource allocation across a matrixed organization, incorporating AI-assisted forecasting and scenario modeling to improve planning accuracy and speed
  3. Own implementation, change management, and enablement for annual resource planning cycles, including the deployment and adoption of AI-powered planning tools across stakeholder groups
  4. Conduct rigorous data analysis to surface patterns, trends, and actionable recommendations from headcount data — using machine learning and generative AI capabilities to accelerate insight generation and improve decision quality.
  5. Translate ambiguous business questions into structured analytical frameworks, delivering clear recommendations to senior leaders that drive workforce investment decisions.

Skills

Required

  • 10+ years of Microsoft Excel experience
  • Bachelor's degree or equivalent
  • Experience defining, refining and implementing sales processes, procedures and policies or equivalent
  • 5+ years of experience in workforce planning, resource planning, or headcount management

Nice to have

  • Experience presenting to senior leadership
  • Experience using data and metrics to drive actionable insights at scale
  • Experience implementing change management successfully transitioning programs into large-scale operations
  • Familiarity with agentic AI frameworks or generative AI tools applied to business operations
  • Experience deploying or working alongside AI/ML tools for workforce forecasting, demand planning, or operational automation

What the JD emphasized

  • AI-assisted forecasting
  • agentic AI tools
  • AI-powered planning tools
  • generative AI capabilities