Sr Technical Program Manager, AWS Analytics Engineering

Amazon is hiring a Sr Technical Program Manager, AWS Analytics Engineering in Seattle, United States. It pays $149k-$201k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
The posting mentions SQL, AWS and program management among its tools and skills.
Level classes it as a senior role.
Amazon has 21,000+ other open roles on Level.
Posted within the past two weeks.

AI in this role

Lead cross-organizational analytics engineering programs at AWS, coordinating data platform infrastructure and utilizing data tools and basic AI assistance.

sqlaws

program-managementdata-modelingdata-analysis

AWS Analytics Engineering (AAE) is seeking a Senior Technical Program Manager to lead delivery and cross-organization coordination for the Foundational Data Technology (FDT) organization. FDT is the central org within AAE that supports AWS Product Analytics — owning the foundational datasets, data platform infrastructure, service transformations, reporting operations, and data content and stewardship that power AWS revenue reporting, usage analytics, and product intelligence.

You will own the delivery strategy across FDT's core programs — Unified Revenue, Unified Actuals, Unified Usage — and a portfolio of internal initiatives including security, compliance, infrastructure modernization, and central engineering programs. This is a cross-organizational role. You will work across AWS Sales, Finance, Product, and CP Platform organizations to drive discussions, seek alignment, and ensure FDT's data products meet the needs of stakeholders across the AWS business. Within AAE, you will partner with data engineering managers across five sub-teams to drive programs, remove blockers, and hold teams accountable to commitments.

You will represent FDT in leadership meetings, present program status and strategy to Director and VP-level audiences, and serve as the primary point of contact for cross-org partners. You will partner directly with the AAE Director and Principal Engineers to shape how the team delivers against its roadmap.

The ideal candidate brings deep understanding of data — including data modeling, pipeline architectures, and analytical workflows — and can step up to perform basic data analysis using SQL or AI-assisted tools when needed to validate assumptions, investigate discrepancies, or support deep dives. You can hold the full picture of a multi-workstream program while diving into technical details, and communicate with clarity to audiences ranging from engineers to VPs.

Key job responsibilities
• Responsible for the end-to-end project management functions of large programs including planning, risk and issue management, trade-offs and execution, anticipating bottlenecks, managing escalations, and balancing business needs versus technical constraints.
• Defining project scope, prioritization, managing sprints planning from project initiation till final launches and status reporting to stakeholders. Create, maintain and disseminate project information to stakeholders.
• Effectively cooperate with customers, technical staff and leaders, business leaders and executives to define and deliver complex features.
• Drive programs that require coordination across multiple in-org and cross-org teams — writing business cases, driving funding, and aligning roadmaps across organizational boundaries.
• Leading requirement gathering, design/technology selection initiatives, design reviews.
• Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting).
• Deep dive current-state processes, understand operational challenges, collaborate cross-functionally to brainstorm solutions, and ask the right questions to identify the right technical approach. Evaluate emerging AI technologies and guide teams through responsible adoption.
• Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems.
• Work with Product Managers, Finance, Service Engineering Teams and Sales Teams on day-to-day basis to support their new analytics requirements.
• Manage numerous requests concurrently and strategically, prioritizing when necessary
• Partner/collaborate across teams/roles to deliver results.
• Mentor other engineers, influence positively team culture, and help grow team.

About the team

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic qualifications

- Bachelor's degree in engineering, computer science or equivalent
- 5+ years of technical product or program management experience
- 7+ years of working directly with engineering teams experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules

Preferred qualifications

- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience developing and executing/delivering product and technical roadmaps
- Experience owning/driving roadmap strategy and definition

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

How we rate this

Sr Technical Program Manager, AWS Analytics Engineering at Amazon rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Sr Technical Program Manager, AWS Analytics Engineering is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $149k-$201k a year.
The role is based in US, WA, Seattle.
The job was posted on October 13, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Program ManagementData ModelingData AnalysisSQLAWS

Questions you could be asked

Tell me about a project where program management was part of your work. What did you do?
Tell me about a project where data modeling was part of your work. What did you do?
Tell me about a project where data analysis was part of your work. What did you do?
What's a project where you used SQL hands-on?
Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Program Management, Data Modeling, Data Analysis, SQL, and AWS. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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