Program Manager, Executive Development, AWS Executive Development
Summary
Program Manager driving AI-powered transformation for executive development at AWS, building automation and agents to scale talent programs and reporting.
AWS Executive Success is looking for a Program Manager to drive operational excellence and AI-powered transformation across our executive development programs. This role owns the end-to-end program operations that enables the team to deliver high-quality executive assessments, career grwoth plans, and development engagements at scale. You will build and maintain the systems, automation, and processes that keep our talent development work running — from leader data management and program coordination to AI-powered reporting.
The ideal candidate drives the AI transformation of how the team operates — using AI to remove the manual burden and dependencies that slow the work and building and governing the agents that scale the team. Beyond that, they establish the design standards and operational infrastructure for an AI-first program management model. Successful candidates possess a bias for automation, strong stakeholder coordination, hands-on experience building with emerging AI tools, and the ability to operate independently in a fast-moving, confidential environment.
Key job responsibilities
• Lead AI transformation of ES operations — identify workflows to automate and dependencies to remove, design and build AI agents (reporting, development plans, documentation), set the design standards that let the team and others adopt them, drive adoption, and measure impact
• Establish governance and SLAs for AI tool change requests, confidential-data handling standards, and human-in-the-loop controls to ensure reliability and prevent scope creep
• Own and maintain internal data, ensuring accuracy and integration with upstream and downstream reporting
• Produce monthly status reports and dashboards for executive leadership review
• Manage data lifecycle — migration, retention, audit, and SharePoint governance
• Drive cross-functional coordination with HRBPs, talent leads, and principal
• Anticipate where the work is heading — pilot emerging AI/automation tools, make build-vs-buy calls that remove dependencies, and share adoption paths
The ideal candidate drives the AI transformation of how the team operates — using AI to remove the manual burden and dependencies that slow the work and building and governing the agents that scale the team. Beyond that, they establish the design standards and operational infrastructure for an AI-first program management model. Successful candidates possess a bias for automation, strong stakeholder coordination, hands-on experience building with emerging AI tools, and the ability to operate independently in a fast-moving, confidential environment.
Key job responsibilities
• Lead AI transformation of ES operations — identify workflows to automate and dependencies to remove, design and build AI agents (reporting, development plans, documentation), set the design standards that let the team and others adopt them, drive adoption, and measure impact
• Establish governance and SLAs for AI tool change requests, confidential-data handling standards, and human-in-the-loop controls to ensure reliability and prevent scope creep
• Own and maintain internal data, ensuring accuracy and integration with upstream and downstream reporting
• Produce monthly status reports and dashboards for executive leadership review
• Manage data lifecycle — migration, retention, audit, and SharePoint governance
• Drive cross-functional coordination with HRBPs, talent leads, and principal
• Anticipate where the work is heading — pilot emerging AI/automation tools, make build-vs-buy calls that remove dependencies, and share adoption paths