Sr. Manager, Data and Insights, US Prime & Marketing Technology

Are you excited to build and grow a new customer insights team that will influence flagship initiatives across Amazon and Prime? Do you enjoy using data, analytics, and AI to deliver actionable insights that support critical business decisions?

The US Prime & Marketing Team is seeking an experienced data and analytics leader to lead and grow a new North American Stores Customer Insights team focused on delivering faster, AI-accelerated insights and recommendations that drive customer engagement across North American Stores and US Prime.

As the Sr. Manager, Data and Insights, you will lead a multidisciplinary team of Business Analysts, Business Intelligence Engineers, and Data Engineers who provide data, reporting, and analytical insights that influence and support critical business decisions. You will create and implement a new charter that reimagines how insights are generated and delivered, combining traditional BI with agentic, AI-native analytics: conversational access to trusted data, automated deep dives, and agent-ready data foundations that get answers to decision-makers in hours instead of weeks. You will build scalable data solutions to enable insight generation and provide analytical support for flagship initiatives across Amazon and Prime. You will lead the team to design and build the right data infrastructure layer, including well-governed, semantically documented data that both humans and AI agents can trust and consume, to enable reporting and analytics, while partnering with product teams to define metrics, software engineering teams to instrument the appropriate data pipelines, and data engineering to scale our data infrastructure.

You will lead the team to build the AI layer of the insights stack, not just adopt it: standing up the data services and agent integrations that let internal AI tools query our data safely, developing and improving natural-language reporting so partners get answers directly, and setting the standard for how BAs, BIEs, and DEs use AI-assisted tooling in their own work. The goal is to move team capacity from routine reporting to the deep analysis and recommendations that move the business.

This role requires excellent technical skills and hands-on fluency with how GenAI is changing analytics work, in order to raise the bar on both the team"s craft and its high-judgment, responsible use of AI, and excellent written/verbal communication skills to interact effectively with business and tech leadership.

Key job responsibilities

• Single-threaded owner for data, analytics, insights, and AI-enabled analytics for the US Prime & Marketing Technology team
• Lead and coach a multidisciplinary team of Business Intelligence Engineers, Business Analysts, and Data Engineers, setting the standard for how each role applies AI-assisted tooling in their own work
• Develop, launch, and scale self-service analytics and insights offerings, including natural-language and conversational access to data that lets partners get trusted answers directly
• Design and build the governed data models, semantic layers, and agent integrations that allow internal AI assistants and agents to consume NA Stores and Prime data reliably
• Deliver insights and recommendations to help shape strategy across North American Stores and US Prime, moving team capacity from routine reporting toward deep analysis and high-judgment recommendations
• Partner with Business, Product, Marketing, Finance, Engineering, and Science leaders to provide data-driven insights and recommendations that influence business decisions

About the team

Few analytics teams at Amazon get a domain this wide. US Prime & Marketing Technology (UPMT) owns the US Prime member experience, the category, seasonal, and brand marketing and creative for North America Stores, and the science and engineering behind the automated and agentic merchandising, personalization, and content-quality platforms that run across Amazon"s stores worldwide. Our belief is that everything beautiful should be automated, and everything automated should be beautiful. Measuring an org like that means working across membership economics, marketing incrementality, on-site and off-site engagement, creative performance, and the output of agentic systems that didn"t exist two years ago.