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Principal Tech Program Mgr, Business Data Technologies

Amazon


Job Location:

Seattle, OR - USA

Yearly Salary: USD 177000 - 239400
Posted: 29 September 2026 (3 days ago)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Job Summary

At Amazon data is critical to everything we do from understanding product inventories across our global fulfillment centers to predicting what products to recommend to customers. Data ceaselessly informs our flywheel helping us to understand customer needs onboard new sellers and selection and identify opportunities for cost savings. Business Data Technologies (BDT) provides trustworthy intuitive and cost-efficient solutions for Amazonians to secure store analyze and transform this data at unparalleled scale. BDT owns develops and operates Andes one of the largest data lakes in the world storing 3 exabytes of data read/written to by 100k data pipelines with >60k monthly active users. To do this we need extraordinary individuals to build the next generation of data analytics machine learning and AI solutions for thousands of scientists engineers and analysts who rely upon us to get their jobs done.

The BDT-AI4ME organization works bring AI-centric methodologies and automations to Amazon organizations needing to connect their business teams and objectives with their data teams and architectures. The BDT-AI4ME organization seeks to lower the cognitive load needed to connect business to data through best of class agents and AI-ready metadata to allow anyone to access data to gain insights.

As a Principal Technical Program Manager in the BDT-AI4ME organization you understand ways that enterprises apply AI to solve business and technical problems. You understand the ways that Amazons business teams work with their data teams and you seek to reduce friction and error-proneness of those interactions using AI. You drive lightweight mechanisms that bring visibility to leadership share best practices and provide better communication and collaboration across teams. This role works closely with Tech Directors VPs and Principal Engineers to identify patterns new trends goals and areas for cross-org collaboration. This role does not support just one organization but rather focuses on best practices that can be applicable to multiple organizations across Amazon.

Key job responsibilities
You focus on the needs of business users as they navigate data from question to insight. You formulate goals and plans for transforming the ways Amazon extracts value from its data through iterative improvements involving AI enablement process optimization role guidelines and org design.

As part of a broader team you collaborate with other technical program managers to ensure that work in your space aligns with work and plans of other teams across BDT and other organizations. You establish mechanisms for inspection and awareness of progress across cross cutting initiatives.

Data drives your flywheel. You analyze data to glean insights that drive experimentation. You leverage data such as service telemetry user feedback and industry trends to surface opportunities for improvement. You take whats proven and partner with Amazon organizations to apply and scale it. You define implement and monitor metrics that track your progress.

You partner with Amazons business orgs to test hypotheses and deploy AI-based solutions to reduce friction and risk of errors in the ways that businesses use data.

You give feedback on narratives contribute to strategy (e.g. OP1 planning) set goals discuss weekly business metrics and more.

You partner with Amazons PXT organization to evolve and optimize roles guidelines and org design best practices to align with the way businesses are evolving their practices around getting insights from their data.

You partner with engineering human resources legal documentation solution architecture privacy finance and more to optimize usage of the Andes data lake for AI-based methodologies.

As an owner you hold yourself and partners accountable for the highest quality user outcomes.

- 7 years of technical product or program management experience
- 10 years of working directly with engineering teams experience
- Experience managing programs across cross functional teams building processes and coordinating release schedules
- Experience driving complex programs using judgment and data including collaborating with stakeholders and internal partners
- Experience improving processes for program management and for collaboration with partner teams
- Experience influencing executive leadership through verbal and written communication
- Experience negotiating influencing planning and executing across teams

- Knowledge of current trends and approaches to applying AI to business needs
- Technical depth in databases data lakes storage and distributed systems including architectural and operational aspects

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 for more information. If the country/region youre applying in isnt 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 WA Seattle - 177000.00 - 239400.00 USD annually


Required Experience:

Manager


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