At a Glance
- Tasks: Lead the vision for an AI-driven data platform that enhances discoverability and usability.
- Company: Join Expedia Group, a leader in global travel technology.
- Benefits: Enjoy travel perks, generous time off, flexible work, and career development resources.
- Other info: Collaborative environment with opportunities for innovation and growth.
- Why this job: Shape the future of data discoverability and make a real impact in travel tech.
- 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.
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.
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.
Responsibilities- 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.
- 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 such as metadata capture, lineage, and 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.
- 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.
Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. 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 employer: 11310 Expedia.com Ltd.
Expedia Group is an exceptional employer that fosters a diverse and inclusive work environment, offering employees the chance to contribute to innovative travel technology. With a comprehensive benefits package that includes exciting travel perks, generous time-off, and flexible work arrangements, employees are empowered to grow their careers while enjoying a vibrant workplace culture. The opportunity to lead cutting-edge data initiatives in a collaborative setting makes this role particularly rewarding for those passionate about driving impactful change in the travel industry.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Product Manager, Data Platform
✨Tip Number 1
Network like a pro! Reach out to folks 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 products. Knowing their data platform inside out will help you stand out and show you’re genuinely interested.
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience aligns with the role of Principal Product Manager. Highlight your successes in data-centric projects to impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re keen on joining our team!
We think you need these skills to ace Principal Product Manager, Data Platform
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Principal Product Manager role. Highlight your experience with data platforms and product management, and show us how your skills align with our vision for a next-generation data discoverability platform.
Showcase Your Achievements:When detailing your past experiences, focus on specific achievements that demonstrate your impact in previous roles. Use metrics where possible to quantify your success, like improvements in data discoverability or user satisfaction.
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon and ensure your key points stand out. This will help us quickly see how you can contribute to our team.
Apply Through Our Website:We encourage you to apply directly through our website. This way, your application will be processed more efficiently, and you'll have access to all the latest updates about the role and our company culture.
How to prepare for a job interview at 11310 Expedia.com Ltd.
✨Know Your Data Inside Out
As a Principal Product Manager for a data platform, you need to be well-versed in 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 have made a measurable impact.
✨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 ask you to solve real-world problems related to data discoverability and governance. Think through scenarios where you've had to influence senior stakeholders or prioritise features based on impact and feasibility. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Metrics Matter
Be ready to discuss how you've defined and tracked adoption and impact metrics in your previous roles. Highlight specific examples of how you've measured success in terms of catalog usage, certified dataset ratios, and user satisfaction. This will show that you understand the importance of data-driven decision-making.