Principal Product Manager, Data Platform in London

Principal Product Manager, Data Platform in London

London Full-Time 80000 - 100000 € / year (est.) No home office possible
Expedia, Inc.

At a Glance

  • Tasks: Lead the vision for an AI-enhanced data platform that transforms data discoverability.
  • Company: Join Expedia Group, a leader in global travel technology.
  • Benefits: Enjoy travel perks, flexible work, generous time-off, and career development resources.
  • Other info: Be part of a diverse community that celebrates differences and fosters collaboration.
  • Why this job: Shape the future of travel with cutting-edge tech and make a real impact.
  • Qualifications: 10+ years in product management with a focus on data platforms and analytics.

The predicted salary is between 80000 - 100000 € per year.

Expedia Group brands power global travel for everyone, everywhere. We design cutting‑edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

The Platform & Data Product organization sits within Expedia Group’s wider Product function and is responsible for building the foundational data and AI capabilities that power our global travel ecosystem. The team oversees Expedia Group’s data products, enterprise data domains, analytics platforms, AI/ML platforms, streaming and experimentation platforms, metrics platforms, and the governance and quality frameworks that underpin them. We partner closely with engineering teams across the business to deliver scalable, reliable, and AI‑ready data infrastructure.

This role will own the vision and roadmap for a next‑generation data discoverability platform that makes certified data products findable, understandable, and usable for every data producer and consumer. By turning discovery into a self‑service, AI‑enhanced experience, you will reduce toil, raise data‑quality perception, and accelerate high‑value end‑to‑end initiatives that drive growth and operational efficiency across the company.

In this role, you will:

  • Own and drive the vision, strategy, and multi‑year roadmap for an AI‑enhanced data catalog that makes trusted data assets searchable, understandable, and reusable across the organization.
  • Define and deliver scalable data platform capabilities spanning metadata capture (schemas, lineage, data contracts), governance, discovery, and access via self‑service UIs and APIs.
  • Build and evolve a data trust and certification framework, enabling users to assess dataset quality, ownership, observability, and SLAs with confidence.
  • Embed AI‑driven discovery features such as semantic search, natural language query, and recommendations to improve data discoverability and reduce time to insight.
  • Translate complex platform and business needs into a clear, outcome‑driven roadmap, prioritizing based on impact, feasibility, and measurable results.
  • Partner with engineering, data, analytics, and business teams to deliver reliable and scalable platform solutions.
  • Define and track adoption and impact metrics (e.g., catalog usage, certified dataset ratio, time‑to‑find reductions, user satisfaction).
  • Champion platform quality, scalability, and governance, while driving broad adoption across teams.

Minimum Qualifications:

  • Bachelor’s degree or equivalent professional experience.
  • 10+ years of product management or related technology experience, including ownership of complex platform or data products.
  • Experience leading data‑centric products or platforms (e.g., data catalogs, metadata systems, data quality frameworks, data contracts, analytics enablement platforms).
  • Deep background in data analysis, analytics, or data engineering, with strong understanding of data ecosystems and workflows.
  • Proven track record of defining and executing product strategy and roadmaps for complex, cross‑functional data platforms, with measurable business impact.
  • Strong technical fluency in APIs, data modeling, and distributed systems, including experience working on always‑on data platforms and data flow architectures.
  • Demonstrated ability to collaborate closely with engineering and data teams to deliver technically sophisticated platform capabilities (e.g., metadata capture, lineage, discoverability tooling).
  • Experience defining and driving adoption and success metrics (e.g., usage, data discoverability, time‑to‑insight, user satisfaction).
  • Proven ability to influence senior stakeholders and cross‑functional teams on prioritization, governance, and trade‑offs, and to clearly articulate the business value of data discoverability.

Preferred Qualifications:

  • Experience leading enterprise‑scale data platforms or data catalogs with broad adoption.
  • Track record in platform governance, data quality, and self‑service enablement.
  • Expertise in metadata management and data discoverability, including lineage, certification, and data contracts.
  • Experience building or integrating AI/ML‑powered platform capabilities (e.g., semantic search, recommendations, NLP interfaces).
  • Strong ability to influence architecture and operating models without direct authority.
  • Experience using data to measure platform adoption, product health, and operational performance.

Accommodation requests: If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Principal Product Manager, Data Platform in London employer: Expedia, Inc.

Expedia Group is an exceptional employer that prioritises its employees' well-being and professional growth, offering a comprehensive benefits package that includes exciting travel perks, generous time-off, and flexible work arrangements. Our vibrant and inclusive culture fosters collaboration and innovation, ensuring that every team member feels valued and empowered to contribute to shaping the future of travel. With ample opportunities for career development and a commitment to diversity, working at Expedia Group means being part of a community where your contributions truly matter.

Expedia, Inc.

Contact Detail:

Expedia, Inc. Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Product Manager, Data Platform in London

Tip Number 1

Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.

Tip Number 2

Prepare for interviews by researching the company and its culture. Understand their values and think about how you can contribute to their mission. This will help you stand out as a candidate who truly gets them.

Tip Number 3

Practice your pitch! Be ready to explain your experience and how it aligns with the role. Keep it concise but impactful, showing how you can drive results for the team.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, you’ll find all the latest openings there, so keep checking back!

We think you need these skills to ace Principal Product Manager, Data Platform in London

Product Management
Data Analysis
Data Engineering
APIs
Data Modelling
Distributed Systems
Metadata Management

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data platforms and product management. We want to see how your skills align with our vision for the data discoverability platform!

Showcase Your Achievements:Don’t just list your responsibilities; share specific examples of how you’ve driven impact in previous roles. We love seeing measurable results, so include metrics that demonstrate your success in managing complex data products.

Be Authentic:Let your personality shine through in your application. We value a diverse and vibrant community, so don’t hesitate to share what makes you unique and how you can contribute to our culture at Expedia Group.

Apply Through Our Website:For the best chance of success, make sure to submit your application through our official careers page. This way, we can ensure your application gets the attention it deserves from our hiring team!

How to prepare for a job interview at Expedia, Inc.

Know Your Data Inside Out

As a Principal Product Manager for the Data Platform, it's crucial to have a deep understanding of data ecosystems and workflows. Brush up on your knowledge of data catalogs, metadata systems, and data quality frameworks. Be ready to discuss how you've previously defined and executed product strategies that had measurable business impacts.

Showcase Your Technical Fluency

Make sure you can confidently talk about APIs, data modelling, and distributed systems. Prepare examples of how you've collaborated with engineering and data teams to deliver sophisticated platform capabilities. This will demonstrate your ability to bridge the gap between technical and non-technical stakeholders.

Prepare for Scenario-Based Questions

Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles, particularly around data discoverability and governance. Be ready to articulate how you prioritised tasks based on impact and feasibility, and what metrics you used to measure success.

Emphasise Collaboration and Influence

This role requires working closely with various teams, so highlight your experience in influencing senior stakeholders and cross-functional teams. Share specific examples of how you've driven adoption and success metrics in past projects, and how you communicated the business value of data discoverability to different audiences.