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Product Manager III, AI Analytics Products

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Expedia
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    Business Systems & Technology Analysis, Data Analyst, AI Business & Operations, Business Intelligence
  • Business
    Business Systems & Technology Analysis, Data Analyst, AI Business & Operations, Business Intelligence
Salary/Wage Range or Industry Benchmark: 90000 - 130000 GBP Yearly GBP 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

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.

Expedia Group is seeking a Product Manager III to help build the next generation of AI-powered analytics experiences that enable employees to discover insights, make decisions faster, and unlock more value from our data. As part of the Analytics Products team, you will help define and deliver products that leverage Expedia Group’s data foundations to power intelligent, scalable, and trusted analytics experiences across the business.

Working at the intersection of analytics, data, and artificial intelligence, you will partner closely with engineering, analytics, and business stakeholders to identify opportunities, solve customer problems, and deliver innovative products that improve how teams access and interact with information. This role is ideal for a product manager with experience in analytics or data-driven products who is excited about emerging AI technologies and their potential to transform how people work.

You’ll contribute to products that incorporate conversational AI, intelligent workflows, and agentic experiences to help users move from questions to actionable insights more effectively.

What You’ll Do
  • Own and evolve AI-powered analytics and decision-support experiences that help users discover insights, automate workflows, and make better decisions.
  • Define product strategy, roadmaps, priorities, and success metrics for a portfolio of analytics and AI-enabled products.
  • Partner closely with engineering teams to build intelligent experiences leveraging Large Language Models (LLMs), retrieval-augmented generation (RAG), conversational interfaces, and agentic workflows.
  • Collaborate with analytics, data, engineering, and business stakeholders to understand customer needs and identify opportunities to create value through AI-driven solutions.
  • Translate complex customer and business problems into clear product requirements, user stories, and prioritized backlogs.
  • Use qualitative and quantitative data to evaluate product performance and inform investment decisions.
  • Help shape the future of AI-powered experiences by staying current with industry trends, emerging technologies, and evolving customer expectations.
  • Ensure products are designed with appropriate considerations for trust, governance, privacy, security, and responsible AI practices.
  • Partner across platform and domain teams to deliver scalable capabilities that can be adopted across multiple business functions.
Minimum Qualifications
  • 5+ years of Product Management experience delivering technical products, data products, analytics solutions, AI-powered applications, or enterprise software.
  • Experience working within analytics, data, machine learning, AI, or other technical product domains.
  • Strong understanding of how users interact with data and analytics products to answer questions, generate insights, and drive business outcomes.
  • Experience working closely with software engineers and technical stakeholders to define requirements, prioritize work, and deliver products iteratively.
  • Strong familiarity with modern…
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