Product Manager III, Analytics Platform Capabilities

Overview

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors—Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together—help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

We are looking for a Product Manager III to help shape and scale analytics platform capabilities that make Expedia Group more data-driven. This role focuses on self-service analytics, business intelligence platforms, and AI-powered analytics experiences that help users move from question to insight with greater speed, trust, and ease. You will work across a portfolio that includes analytics and BI platforms such as Looker, Tableau, Databricks, and AI-powered experiences.

You will help define product direction, translate user needs into clear priorities, and partner closely with engineering, design, analytics, and stakeholders across the business to deliver trusted, scalable, easy-to-use analytics capabilities.

• Own a defined area of Expedia Group’s analytics platform portfolio, with emphasis on self-service and AI-assisted analytics capabilities that make it easier for users to move from question to insight quickly and with trust.
• Translate the needs of analysts, product managers, and business stakeholders into a clear product strategy, roadmap, and prioritized backlog that improves discoverability, usability, governance, and adoption of analytics and BI platforms.
• Partner closely with engineering and design to define requirements and deliver intuitive, reliable, and scalable product experiences across self-service, BI, and conversational analytics workflows.
• Shape and evolve AI-powered analytics experiences, including natural-language and conversational interfaces, to provide governed, secure, and high-quality insights for both technical and non-technical users.
• Drive data-informed decision making by defining success metrics, analyzing qualitative and quantitative signals, and using them to inform trade-offs, releases, and continuous improvement across analytics capabilities.
• Work across platform and domain teams to align roadmaps, simplify overlapping or fragmented analytics experiences, and support rollout, change management, and adoption of new capabilities through clear communication and documentation.

• 5+ years of product management experience delivering internal platforms, data products, analytics tools, BI capabilities, developer platforms, or other technical enterprise software in a cross-functional environment.
• Hands-on experience working with Tableau and a strong understanding of Tableau-based analytics and reporting workflows, including dashboard discovery, governance, usability, and adoption.
• Demonstrated ability to understand analytics user workflows and technical platform constraints, and convert that understanding into clear product decisions, requirements, and prioritized roadmaps that drive adoption and measurable business outcomes.
• Experience working closely with engineering teams to define and sequence delivery, ship iterative improvements, and ensure analytics and BI platform capabilities are reliable, scalable, well-governed, and secure.
• Strong analytical thinking and communication skills, with a focus on measurable outcomes such as adoption, usage, and business value, and familiarity with analytics workflows, BI tools, SQL-based environments, or data platform ecosystems.
• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, particularly in the context of analytics, BI, or data platforms.

• Experience building or enhancing self-service…