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, generous time off, and flexible work options.
- Other info: Collaborative environment with opportunities for career growth and innovation.
- Why this job: Make a real impact on how data is accessed and understood across the organisation.
- Qualifications: 10+ years in product management with a focus on data platforms.
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.
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 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.
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.
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 in London employer: 11310 Expedia.com Ltd.
Expedia Group is an exceptional employer that fosters a diverse and inclusive work environment, offering a comprehensive benefits package that includes exciting travel perks, generous time-off, and flexible work arrangements. With a strong focus on career development and innovative technology, employees have the opportunity to grow within a vibrant community dedicated to transforming global travel experiences.
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 folks in your industry on LinkedIn or at events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Show us you know what we do and how you can contribute to our data platform vision!
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it aligns with the role. We want to hear how you can drive our data discoverability platform forward.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Principal Product Manager, Data Platform in London
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 Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your passion for data and product management shines through without unnecessary fluff!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at Expedia Group!
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, 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 in this space.
✨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 complex 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 and strategic thinking. Think of scenarios where you've had to prioritise features based on impact and feasibility. Be ready to articulate how you measure success and adoption metrics for data platforms.
✨Emphasise Your Leadership Skills
Highlight your experience influencing senior stakeholders and cross-functional teams. Share specific examples of how you've driven platform governance and self-service enablement. This will show that you can lead initiatives and foster collaboration across diverse teams.