Senior Technical Program Manager, GDCO Central Intelligence and Analytics Team

We're looking for a Senior Technical Product/Program Manager to own a portfolio of these business-facing products and programs end to end: shaping what each one should do and for whom, driving its design and delivery with engineering, science and data technicians, and proving it changes business outcomes. This role is oriented toward business problems and the products/programs that solve them, not toward running shared platform infrastructure. You'll be as comfortable reviewing a system architecture or challenging a recommendations quality as presenting a roadmap to senior executives like VPs.

## The portfolio you'll own

- **Self-service analytics, to production.** Take our natural-language and SQL analytics product over the governed data lake from team tool to a production service leaders rely on: accuracy on governed metrics, onboarding new domains, reliability, access controls, and adoption.

- **Recommendation engine delivery and quality.** Deliver the AI-assisted recommendation engine from pilot to broad use, own its quality bar: what it recommends, with what confidence, when it should stay silent, and how we know it worked.

- **Business domain decision products.** Our operation runs on a few core business domains, each with its own leaders, metrics, data sources, and decisions. For each one, you'll own the product that moves a leader from "what's happening" to "what should I do about it": define the decisions it supports, the metrics and data it needs, and how we measure whether it improved the domain's outcome. Today that means: data products that cover repair backlog and aging, repair throughput and turnaround time, parts availability and other blockers, and repeat failures. The core decision is where to focus the effort so it returns the most capacity to customers fastest. Data products track deliveries from plan through install and hand-off, show what's on track, what's at risk, and why (parts, labor, facilities, network readiness), and route each blocker to the owner who can clear it. The core decision is which at-risk deliveries need intervention now. Success is more capacity delivered on its committed date.

Key job responsibilities

- **Own program strategy and roadmap** for each product/program in the portfolio, tied to a business outcome (repair turnaround, labor productivity, capacity on time), and phase scope deliberately from pilot to GA.

- **Define and enforce quality.** Set the bar for each products/programs, such as answer accuracy for self-service analytics or recommendation precision, confidence, and abstain behavior for the recommendation engine. Partner with engineering and science so no product presents correlation as causation or claims more confidence than it has earned.

- **Prove business impact.** Define how actions are captured, how impact is measured against matched baselines, and how outcomes feed back into the product. Success is not "recommendations accepted" or "queries run"; it's decisions that changed outcomes.

- **Run technical delivery with the engineering team.** Own the delivery cadence, sprint planning, and release management for your products/programs. Review design docs, understand the architecture well enough to weigh tradeoffs (build vs. reuse, latency vs. cost, coupling between services), and keep scope, sequencing, and dependencies honest.

- **Drive launch readiness** across security review, penetration testing, operational readiness (ORR), and privacy reviews for each product moving to production.

- **Lead cross-org dependencies** with Supply Chain, Hardware Engineering, Facilities, workforce planning, and peer data teams: write the asks, negotiate data contracts, and escalate when a partner dependency blocks the roadmap.

- **Write the narratives** (PR/FAQs, 6-pagers, pilot readouts) for Director and VP audiences, with honest accounting of what is proven vs. pending.

About the team

Our team is focused on building and delivering data solutions that drive meaningful outcomes for AWS and our customers. We operate in a collaborative environment where program managers work closely with engineers, scientists, and business leaders to tackle challenging problems at scale. We value clear thinking, thoughtful communication, and a willingness to take initiative in unstructured situations. If you are excited about shaping program strategy, influencing technical direction, and growing alongside a talented group of peers, we would love to hear from you.

Basic qualifications

- 7+ years of working directly with engineering teams experience

- - 5+ years of technical product or program management experience

- - 3+ years of technical program management experience with a software application or software engineering team

- - Experience with software architecture and system design, including reviewing design documents and driving technical tradeoff decisions with engineers

- - Experience owning and driving roadmap strategy and definition

- - Experience shipping data, analytics, or decision-support products to business or senior-leadership customers

- - Bachelor's degree

Preferred qualifications

- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience

- - Experience managing software engineers, directly or as a technical lead

- - Software development experience

- - Owned a portfolio of several products at once, each tied to a different business outcome

- - Shipped ML/LLM-powered products to production, including evaluation design (golden sets, LLM-as-judge) and failure-mode analysis (hallucination, over-confidence)

- - Productionized a self-service analytics or natural-language query product, including accuracy measurement and access controls

- - Taken a product through security, privacy, and operational-readiness reviews

- - MBA or advanced technical degree

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 148,700.00 - 201,200.00 USD annually