Senior Technical Program Manager, Amazon Global Data Center Ops Central Insight and Analytics Team

Amazon • Seattle, WA

3d • Onsite

About The Position

We are looking for a Senior Technical Program Manager to establish and lead delivery management for GDCO's Data & Analytics organization. This is a foundational role — you will be the dedicated TPM on a team of data engineers, analytics engineers, BI engineers, applied scientists, and SDEs who provide data intelligence for Amazon's global data center operation organization. This is not a program management role where you own a specific technical deliverable. This is a delivery leadership role where you own the system by which the team ships work reliably, communicates proactively, and earns trust from operational leaders across the globe.

Requirements

• Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
• 5+ years of working directly with engineering teams experience
• Experience establishing delivery processes for mid-to-large size technical teams (intake, prioritization, SLAs, quality gates)
• Experience managing programs with multiple concurrent workstreams and cross-functional dependencies
• Experience communicating technical delivery status to senior non-technical stakeholders (Director/VP level)
• Experience with data engineering or analytics ecosystems (ETL pipelines, data warehouses, BI tools, dashboards)

Nice To Haves

• Master's degree in a technical field, or Master of Business Administration
• Experience in data center operations, infrastructure, or field operations environments
• Experience managing delivery for teams undergoing organizational transformation (new operating models, new team structures)
• Experience with embedded analytics or data science teams — understanding how to measure impact beyond artifact delivery
• Familiarity with Amazon data tools (QuickSight, Athena, Redshift, SageMaker, Glue) or equivalent
• Experience with agile delivery at scale (SAFe, Scrum of Scrums, or similar)
• Experience with capacity planning and resource optimization across multiple concurrent programs

Responsibilities

• Establish and own the end-to-end delivery framework: intake process, prioritization methodology, capacity planning, sprint/delivery cadence, and release management for the full data & analytics team
• Define and track SLA commitments for all major workstreams — ensuring the team delivers on time or communicates proactively when timelines shift
• Manage the team's backlog — driving prioritization decisions with leadership and ensuring high-value work is not blocked by low-value requests
• Serve as the primary delivery interface between the data team and its customers
• Own the stakeholder communication cadence: proactive status updates, escalation paths, and expectation management when priorities shift or timelines change
• Translate technical delivery status into business-relevant updates for non-technical leaders
• Coordinate across several functional pods (Embedded Analytics, Self-Service Platform Engineering, Data Quality, Science) to manage dependencies, resolve blockers, and ensure cross-pod work ships cohesively
• Partner with the Embedded Analytics Manager to define the operating rhythm between embedded analysts and program teams they serve
• Intake & Prioritization Framework — how work enters the team, how it's prioritized, and how decisions are made when demand exceeds capacity
• Delivery SLAs & Quality Standards — the commitments we make to customers and the gates that ensure we meet them
• Stakeholder Communication Cadence — the rhythm and channels through which customers get transparency into our work
• Dependency & Risk Management — tracking cross-team dependencies (especially Boost migration) and surfacing risks before they become blockers
• Delivery Metrics & Reporting — measuring and reporting on the team's delivery health to leadership
• Backlog Health — ensuring the backlog is prioritized, sized, and aging is managed

Benefits

• sign-on payments
• restricted stock units (RSUs)
• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior