Data Science Program Manager Jobs in Seattle, WA

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
We are seeking an experienced Principal Technical Program Manager to lead data science and software within the DC power utilization management organization. The team owns driving high utilization in AWS data centers while maintaining high availability to achieve the dual mandate of capex efficiency and customer SLA. The ideal candidate will drive the technical vision and execution of complex, cross-functional projects that leverage data science, machine learning and DC infrastructure knowledge.
Key Responsibilities:
- Lead the technical strategy and roadmap for the AWS Infrastructure Science team
- Build and manage the roadmap for the data science and supporting software team
- Collaborate with DC Electrical and Mechanical Engineering, HW Engineering, leadership to identify opportunities and projects where data science can add value
- Drive cross-team alignment and execution across data scientists, software engineering and DC engineering
- Manage complex dependencies and risks across multiple workstreams including data science model development, experimentation, and product launches
- Manage leadership communication for project updates, program health
- Develop and track program-level metrics, providing regular updates to leadership on progress, risks, and opportunities
- Lead strategic planning for resources, budget, and timelines to ensure successful delivery of program objectives
The ideal candidate will be a strategic thinker who can translate high-level business objectives into actionable technical plans. They should be comfortable operating in ambiguity, adept at breaking down complex problems, and able to drive alignment across diverse stakeholders. Strong leadership skills are essential to motivate teams and navigate organizational challenges.
This role offers an exciting opportunity to shape the future of Amazon's infrastructure utilization strategy and drive significant business impact through innovative applications of data science and technology. The successful candidate will play a key role in Amazon's infrastructure growth and efficiency initiatives.
Key job responsibilities
- Develop and maintain comprehensive program roadmaps for data science initiatives
- Drive technical strategy alignment across multiple teams and departments
- Oversee end-to-end project lifecycle, from data collection to production deployment
- Manage dependencies between data science, engineering, and product teams
- Coordinate model validation, testing, and deployment processes
- Present program status and results to executive leadership
- Drive continuous improvement in data science workflows
- Develop scalable processes for model governance and compliance
A day in the life
Cut through ambiguity, apply mechanisms, deliver new data science models and enhancements to existing ones. Engage deeply with science, software and hardware engineering, supply chain teams to solve complex and high value problem statements that provide durable competitive advantage to AWS's cost structure. Present ideas, progress updates to the senior most levels of leadership at Amazon.
About the team
The AWS Infrastructure team consists of data scientists, applied scientists, software development engineers, business intelligence engineers and program managers. The team owns high visibility and impact models that inform critical infrastructure decisions that drive data center electrical distribution systems utilization and computing rack placement decisions. The team has grown in size, scope and impact over the last couple of years and is looking for a strong TPM to drive it's signature initiatives for 2026 and beyond.
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.
Diverse Experiences
Amazon 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.
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.
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 and 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.
BASIC QUALIFICATIONS
- 7+ years of technical product or program management experience
- 10+ years of working directly with engineering teams experience
- 5+ years of software development experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Bachelor's degree
PREFERRED QUALIFICATIONS
- 8+ years of hands-on work managing complex technology projects experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
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 - 177,000.00 - 239,400.00 USD annually