Day to day 

• Design, implement and evolve the Data & AI Governance Framework. 
• Develop and maintain the Enterprise Knowledge Graph 
• Collaborate with teams from various departments to define data governance requirements and standards. 
• Establish and govern data access personas and policies. 
• Roll out Responsible & Ethical AI standards and controls. 
• Drive governance culture via training, workshops and communities of practice. 
• Maintain metadata, catalogue, lineage and quality management practices. 
• Partner with DPO, InfoSec, Engineering and Platform teams. 
• Resolve data quality issues and support data stewardship. 
• Provide governance expertise across working groups and forums. 

About you

Essential:

• Experience in both Data Governance and AI Governance, with the ability to apply these disciplines in complex, multi-stakeholder environments.
• Hands-on experience scaling Data and AI governance frameworks from concept to operational reality as an individual contributor within large organisations.
• Practical industry experience in Travel, Retail or Hospitality, or similarly fast-paced, customer-centric sectors.
• Experience implementing Responsible and Ethical AI standards, including designing and operationalising controls that support safe and compliant AI use.
• Strong understanding of metadata, lineage, data lifecycle management, data quality, and governance policy design.
• Knowledge of GDPR, the EU AI Act, and emerging AI governance and regulatory frameworks, with the ability to interpret and translate these requirements into practical governance processes.
• Working knowledge of AI ethics, AI regulatory alignment, AI risk frameworks, AI lifecycle governance, monitoring of AI models and GenAI adoption considerations.
• Ability to influence confidently at VP level and above, and to build effective partnerships with engineering, security, DPO and business stakeholders to drive adoption and compliance.

Advantageous:

• Experience with Databricks, Unity Catalog, Purview or the broader Microsoft data ecosystem.
• Background in Responsible AI policy creation and implementation, including model monitoring and assurance practices.