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# Sr. Program Manager, Data & AI GTM

- **Company:** Amazon.com, Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $115,600.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Customer Data Management
- **Published:** August 27, 2026
- **Apply:** https://dejobs.org/x/x/72A798BBA33C40B5B7F1C6460A53F31A/job/

## About the Role

* 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, * 5+ years of driving process improvements experience
 * Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field
 * Knowledge of general AI tools
 * Experience designing, implementing, and scaling upskilling, apprenticeship, or workforce development programs across large-scale operations or corporate environments, including forecasting workforce needs and leveraging analytics to drive program decisions

## Description

* Own intake, triage, and routing of customer Data & AI engagement requests across multiple builder teams (specialists, professional services, prototyping labs, and partners)
 * Define and enforce SLAs for triage, assignment, and delivery across all participating builder teams; report on adherence and escalate blockers
 * Automate coordination workflows that today take days of back-and-forth, reducing cycle time and removing dependency on individual heroics
 * Work across geographies and organizations to keep the mechanism running smoothly and improving continuously
 * Partner with builder team leaders to maintain balanced workload distribution and clear escalation paths
 * Capture engagement deliverables and package them into reusable architectures, code, and playbooks that customers can grab off the shelf to get to production
 * Build the distribution mechanism that makes reusable assets discoverable and accessible to field sellers and customers at the right moment in their journey
 * Analyze engagement data to identify trends in customer needs, builder team capacity, and routing quality; use findings to inform GTM strategy and investment decisions


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