About the Role
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.
## What You'll Do
**Delivery Management & Execution:**
- 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
**Stakeholder Management & Communication:**
- 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
**Cross-Team Coordination:**
- 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
Key job responsibilities
- **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
About the team
GDCO (Global Data Center Operations) operates Amazon's worldwide fleet — the physical infrastructure that powers AWS, Prime, Alexa, and every Amazon service. Our Data & Analytics team as a thought partner with all stakeholders and customers - provides the intelligence layer: operational metrics, diagnostic analytics, predictive models, and AI-ready data infrastructure that drives critical business decisions.
