At a Glance
- Tasks: Lead the vision for a next-gen data platform, enhancing discoverability and usability.
- Company: Join a forward-thinking tech company focused on data innovation.
- Benefits: Enjoy travel perks, generous time-off, flexible work, and career growth opportunities.
- Other info: Be part of a diverse team committed to inclusivity and innovation.
- Why this job: Make a real impact by shaping the future of data accessibility and governance.
- Qualifications: 10+ years in product management with a focus on data platforms and analytics.
The predicted salary is between 80000 - 100000 € per year.
Position Overview: 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.
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, prioritising 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 prioritisation, 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.
Benefits: Full benefits package including travel perks, generous time‑off, parental leave, flexible work model, and career development resources.
Equal Employment Opportunity: 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 Group
As a Principal Product Manager at our innovative data platform company, you will thrive in a dynamic work culture that champions collaboration and creativity. We offer a comprehensive benefits package, including generous time-off, flexible work arrangements, and robust career development resources, ensuring that you can grow both personally and professionally. Join us in shaping the future of data discoverability while enjoying the perks of a supportive and inclusive environment.
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, especially those who work with data platforms. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your experience with data products. This is a great way to demonstrate your expertise and passion for the role.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to product management and data platforms. We recommend practising your answers with a friend or even in front of the mirror to boost your confidence.
✨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, we love seeing candidates who are proactive about their job search!
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 product strategy and delivered measurable results in previous roles. We love seeing quantifiable impacts!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, especially when it comes to complex topics like data ecosystems and governance.
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 the role!
How to prepare for a job interview at Expedia Group
✨Know Your Data Inside Out
Make sure you have a solid understanding of data ecosystems and workflows. Brush up on your knowledge of data catalogs, metadata systems, and data quality frameworks. Being able to discuss these topics confidently will show that you're the right fit for the role.
✨Showcase Your Strategic Thinking
Prepare to discuss how you've defined and executed product strategies in the past. Be ready to share specific examples of how you've prioritised features based on impact and feasibility. This will demonstrate your ability to translate complex needs into actionable roadmaps.
✨Collaborate Like a Pro
Highlight your experience working closely with engineering and data teams. Share examples of how you've successfully delivered technically sophisticated platform capabilities. This will show that you can bridge the gap between technical and non-technical stakeholders.
✨Metrics Matter
Be prepared to talk about how you've defined and tracked adoption and success metrics in previous roles. Discuss specific metrics like catalog usage or user satisfaction, and how they influenced your decision-making. This will illustrate your data-driven approach to product management.