Data & AI Governance Architect

Booking Booking · Hospitality · Amsterdam, Netherlands · data management

The role focuses on designing and implementing architecture solutions for data and AI governance across Booking.com. It involves ensuring solutions are scalable, secure, compliant, and fit for the future, working with business units to co-create these solutions and align them with broader data and AI strategies. The role requires a deep understanding of data storage, governance, and consumption solutions, cloud technology, and the ability to partner with both technical and non-technical stakeholders.

What you'd actually do

  1. Deep understanding and hands-on experience designing, building, improving, and operating high-performance, high-availability, scalable and secure data storage, governance and consumption solutions that scale and adapt to strategy
  2. Ability to build an architecture that can respond quickly to new use cases - develop an understanding of our business and stakeholders to underpin this
  3. Contribute to data architecture governance and decision processes
  4. Proficiency in modeling canonical data asset for critical data entities, and in protecting and promoting their golden source status - quick to recognise when they need to evolve to stay golden and how they can integrate to mature data and governance capabilities
  5. Proven experience employing best in class technology to continually optimise the tech stack and tools strategy for the data & AI governance platform(s)

Skills

Required

  • data governance
  • AI governance
  • architecture design
  • cloud technology (AWS or similar)
  • cloud native systems
  • communication
  • stakeholder management
  • data modeling
  • canonical data asset modeling
  • technical debt management
  • cost and security risk management

Nice to have

  • modern data architectures
  • Data Governance & engineering Continuous Delivery and Agile delivery methodologies
  • Conceptual and Logical Data Modeling practices
  • data vault modeling
  • enterprise architecture practices
  • capability-based planning
  • API design
  • internal teams support

What the JD emphasized

  • strict privacy and compliance requirements