At a Glance
- Tasks: Lead the design and implementation of enterprise metadata management and data governance strategies.
- Company: Join Aubay, a forward-thinking company focused on data innovation.
- Benefits: Enjoy competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and influence at scale in a dynamic environment.
- Why this job: Be a key player in shaping data governance and AI readiness across the organisation.
- Qualifications: Extensive experience in metadata management and strong communication skills required.
The predicted salary is between 80000 - 100000 € per year.
Aubay is seeking a Principal Metadata Management Lead to drive the definition, design, implementation, and scaling of enterprise metadata management and data governance capabilities. The role ensures that data, analytics, and AI assets are discoverable, trusted, governed, and reusable across the organisation—enabling regulatory compliance, value creation from data, and AI‑readiness.
The position acts as a senior thought leader on metadata, cataloguing, lineage, ownership, and governance design, with a strong focus on enterprise tooling such as Collibra Enterprise Data Catalogue (EDC), Databricks Unity Catalog, and the evolution of enterprise catalogue, access, and metadata analytics capabilities (including CAT and FOX).
Required skills and experience
- Extensive experience in enterprise data governance and metadata management
- Deep hands‑on expertise with Collibra Enterprise Data Catalogue (EDC)
- Strong understanding of data platforms, APIs, and metadata integration patterns
- Strong facilitation, communication, and storytelling skills, able to translate complex concepts to general audiences
- Experience working in varied natural teams across business and technology
- Proven ability to operate as a senior individual contributor influencing at scale
- Expertise in metadata, cataloguing, lineage, ownership, and stewardship models
- Experience defining governance frameworks for data, analytics, and AI assets
Desired skills and experience
- Experience with Databricks, Unity Catalog, and modern data platforms
- Knowledge of AI governance, model registries, and emerging AI regulation
- Experience working in complex, global enterprise environments
- Experience implementing or facilitating data governance within or across business lines
- Experience in successful data access initiatives
- Knowledge of data quality management and data observability
- Familiarity with Agile Ways of Working (ART) and product ownership
Role Responsibilities
- Define and evolve enterprise metadata management strategy, standards, and governance models across data, analytics, and AI
- Lead the development of the Enterprise Data Catalogue and CAT as the primary entry point for discovering, understanding, and accessing data and reporting
- Establish clear positioning and architecture for Collibra EDC and its relationship to technical catalogues, business metadata, and reporting
- Expand catalogue capabilities to support automated access, scalable stewardship, unstructured data cataloguing, and semantic models for AI‑ready data
- Implement AI‑enabled and platform‑integrated approaches to improve metadata onboarding, quality, and freshness
- Drive metadata‑driven discovery and access patterns to support adoption of data products and analytics
- Act as delegate Product Owner for CAT, shaping the roadmap, prioritising enhancements, and translating business feedback into a continuous backlog
- Partner with vendors and internal platform teams to evaluate capabilities, run pilots, and align on roadmap direction
- Support the design and delivery of FOX to consolidate metadata analytics, generate insights, and identify efficiency opportunities
- Reduce friction between central platforms and federated teams through metadata‑driven insights and standardised approaches
- Enable governed discovery and reuse of data products, AI models, and agents through strong metadata foundations
- Lay the groundwork for future data and AI marketplace capabilities with governance, risk, and compliance embedded by design
- Engage business and technology stakeholders through workshops, demos, and enablement sessions to drive adoption and literacy
- Advise senior stakeholders on metadata, governance, and AI readiness, representing these initiatives in enterprise programmes
- Define KPIs for metadata coverage, quality, and adoption, and produce standards, playbooks, and guidance
- Continuously evolve governance approaches in response to regulatory, business, and technology change
- Mentor practitioners and contribute to the wider metadata and governance community
Principal Metadata Management Lead employer: Aubay UK
Aubay is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to lead transformative projects in metadata management and data governance. With a strong commitment to professional development, Aubay offers extensive growth opportunities and encourages continuous learning, ensuring that team members are at the forefront of industry advancements. Located in a vibrant area, the company provides a dynamic environment that values diversity and creativity, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Metadata Management Lead
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the metadata management space. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your expertise! When you get the chance to chat with potential employers, don’t hold back on sharing your knowledge about enterprise data governance and metadata management. Use real-world examples to demonstrate how you’ve tackled challenges in the past.
✨Tip Number 3
Be proactive! If you see a company you’re keen on, reach out directly. Express your interest in their work with metadata and data governance. A little initiative can go a long way in making you stand out from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can give you a better shot at landing that Principal Metadata Management Lead role. Let’s make it happen together!
We think you need these skills to ace Principal Metadata Management Lead
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with metadata management and data governance. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise with tools like Collibra EDC!
Showcase Your Storytelling Skills:Since communication is key in this role, use your application to demonstrate your ability to translate complex concepts into simple terms. We love a good story, so share examples of how you've successfully communicated technical ideas to non-technical audiences.
Highlight Your Leadership Experience:As a Principal Metadata Management Lead, you'll be influencing at scale. Make sure to include any past experiences where you’ve led teams or projects, especially in enterprise environments. We’re looking for those standout moments that show your leadership chops!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Aubay UK
✨Know Your Metadata Inside Out
Make sure you have a solid understanding of metadata management principles and practices. Brush up on your knowledge of tools like Collibra EDC and Databricks Unity Catalog, as well as the latest trends in AI governance. Being able to discuss these topics confidently will show that you're not just familiar with the role but are genuinely passionate about it.
✨Prepare Real-World Examples
Think of specific instances where you've successfully implemented data governance frameworks or improved metadata management processes. Be ready to share these stories during the interview, as they will demonstrate your hands-on experience and ability to influence at scale. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Engage with Stakeholders
Since this role involves working with various teams, practice how you would communicate complex concepts to different audiences. Prepare to discuss how you've facilitated workshops or demos in the past, and think about how you can engage stakeholders effectively to drive adoption of data products and analytics.
✨Stay Current with Industry Trends
Keep yourself updated on the latest developments in data governance, AI regulations, and metadata management. This will not only help you answer questions more effectively but also position you as a thought leader. Bring up recent articles or case studies during your interview to showcase your proactive approach to learning and staying informed.
