Data & AI Governance Architect
Listed on 2026-06-20
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IT/Tech
Data Engineering, Data Security, AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
About Us
At , data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make.
Through our products, partners and people, we make it easier for everyone to experience the world.
The Data & AI Governance department enables extending the governance theme of policies, standards, processes and technology for governing data and AI to driving excellence in our approach to leveraging secure, trusted, accessible data for data driven decision making through:
- An overarching Data & AI Policy to include associated standards
- Data & AI Governance including meta and master data management
- Data & AI Delivery Governance
- Data & AI Quality including both technical and business quality measures
This enables the maturity of Data and AI capabilities across , unlocking innovation and business value through leveraging data and AI.
Role DescriptionThe Data & AI Governance Architect role will report into the Data & AI Governance Solution Architect in the Data & AI Governance department in the CDO office. You will work with the teams in different business units across to co-create the architecture solutions for data & AI governance across data & AI initiatives. You will be responsible for implementing best practice, supporting decision making and ensuring solutions are scalable, resilient, secure, compliant and fit for the future and that the Architecture Design Authority is run smoothly and continually improving its efficiency and alignment with industry standards.
It will also be your responsibility to work with the Solution Architect to align the program to the broader technical and enterprise data & AI strategies. Ensuring that the solution is well positioned to connect with an ecosystem of platform capabilities that combine to connect the trip for our customers and partners in a secure, trusted and compliant manner.
Depth of technical knowledge is an important aspect of this role. However, the ability to partner with and advise non-technical stakeholders is of equal importance. In this role you will partner with product and engineering counterparts and the broader Data Architecture community to understand future direction and utilize this in the creation of architecture solutions.
Key Job Responsibilities and Duties- 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
- Ability to build an architecture that can respond quickly to new use cases - develop an understanding of our business and stakeholders to underpin this
- Contribute to data architecture governance and decision processes
- 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
- Proven experience employing best in class technology to continually optimise the tech stack and tools strategy for the data & AI governance platform(s)
- Identification of bottlenecks within system design that impede delivery velocity
- Data driven nature, expect it in design, lead by example
- Demonstrable experience of cloud technology (AWS or similar) and designing cloud native systems
- Approachable & effective communicator, explain design and challenges in a way the audience understands
- Coaching and mentoring, building our architecture excellence systemically through the team
- Ability to drive impact at scale across a large data product & engineering organisation
- Experience of building out modern data architectures
- Experience of Data Governance & engineering Continuous Delivery and Agile delivery methodologies
- Experience with Conceptual and Logical Data Modeling practices
- Experience of data vault modeling including Hub, Link, and…
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