Job description
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.
The AWS Infrastructure Science team drives optimization and predictive analytics initiatives that make AWS more efficient and is the brain behind many of AWS Infrastructure's most complex decisions.
It operates at a global scale and impacts billions of dollars of infrastructure capex decisions.
We're seeking an experienced Senior Technical Program Manager to lead and coordinate complex data science initiatives across multiple teams including data center engineering, hardware engineering, server and networking hardware supply chain.
The ideal candidate will bridge technical strategy with execution, ensuring successful delivery of predictive analytics, linear optimization and time series forecasting solutions at scale.
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.
About AWS
Diverse Experiences
AWS values diverse experiences.
Even if you do not meet all of the 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
- 5+ years of technical product or program management experience
- 7+ years of working directly with engineering teams experience
- 3+ years of software development 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 defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
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.
Required Skill Profession
Computer Occupations
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