Sr. Technical Program Manager, RBS Tech - DIQ

Drive transformative technical programs that solve complex retail challenges by bridging science, data engineering, and business operations at Amazon scale. You'll own end-to-end delivery of ML/AI-powered solutions that impact billions in gross merchandise sales and hundreds of millions of customers worldwide, while collaborating with Applied Science, Data Engineering, Finance, and Retail leadership across the organization.

Key job responsibilities Lead end-to-end technical program delivery across ML/AI development, data pipeline architecture, and science-driven solutions that address critical retail challenges including catalog enrichment, defect root-cause analysis, cost allocation, and profitability modeling

Partner across retail organizations to identify customer problems, define technical solutions, and deliver measurable improvements in collaboration with Selection, Supply Chain, Category, and Marketplace teams

Serve as technical liaison between Applied Science, Data Engineering, and Business teams, translating business requirements into technical specifications and ensuring models are production-ready for scale

Drive architecture and system design discussions that evaluate trade-offs and ensure solutions support scalability, reliability, and cost-efficiency across large-scale retail operations

Manage cross-functional dependencies and competing priorities across Science, Engineering, Finance, Operations, and Retail organizations, driving alignment at executive leadership levels and implementing risk mitigations

A day in the life As a Senior Technical Program Manager in Retail Business Services, you'll navigate the intersection of machine learning innovation and retail operations. Your day might include facilitating a design discussion with our Applied Science team to evaluate trade-offs in a new catalog enrichment model, then pivoting to align cross-functional stakeholders on data pipeline architecture for supply chain defect elimination. You'll translate complex technical requirements into clear specifications, work with Data Engineering to ensure models are production-ready, and build measurement frameworks that quantify business impact. You'll also prepare executive narratives for leadership forums, manage competing priorities across multiple retail organizations, and identify risks early to keep large-scale programs on track. Throughout it all, you're solving problems that directly affect how millions of products are discovered and purchased by customers globally.

About the team

We are a team of technical leaders and builders focused on scaling Amazon's retail operations through intelligent automation. Our mission is to ensure that Amazon's catalog is complete, correct, and comprehensive—enabling customers to find exactly what they need every time. We work at the intersection of science, data, and retail business, tackling challenges that span catalog quality, inventory optimization, cost allocation, and supply chain efficiency.