
AI Governance Director
- London
- Permanent
- Full-time
- Take accountability for AI and data governance frameworks ensuring compliance with evolving applicable global regulations, policies and standards.
- Ensure that AI systems and data management processes involve the appropriate oversight from our Privacy, Security, Ethics and Legal teams, mitigating risk and ensuring operational integrity.
- Ensure the global AI inventory captures all critical attributes for risk and compliance measures and enforce its completion for all qualifying AI.
- Collaborate with AI, product, legal, security, and privacy teams to complete assurance due diligence and inventory for all AI initiatives.
- Ensure that relevant policies are followed, risks are identified, and exceptions are managed appropriately.
- Oversee the ongoing assessment and improvement of our AI risk controls against the NIST RMF.
- Prepare and present management information packs for executive committees, ensuring key insights and compliance metrics are communicated effectively.
- Working with the Public Affairs organisation, communicate our standards and practices to external stakeholders.
- Work closely with the data engineering and IT teams to implement and maintain data governance practices, ensuring high-quality, reliable data is available for critical reporting, AI model training and data transformation.
- Ensure that data stewardship practices are applied to new data initiatives, including metadata capture, quality controls, and data privacy measures.
- Ensure that AI and data governance standards are fully integrated into the development lifecycle, from initial design through to deployment and ongoing monitoring.
- Define best practices for integrating compliance, security, and ethical considerations at every stage of AI and data product development.
- Deputise for the VP Data Governance as necessary.
- Lead and mentor a team responsible for governance and compliance integration and monitoring.
- Promote a culture of accountability, continuous improvement, and knowledge sharing across the team.
- Working knowledge of data management concepts
- In-depth understanding of data governance frameworks and extensive experience of applying them to global organisations
- Technical understanding of data architecture, infrastructure and data modelling
- AI/ ML lifecycle knowledge
- A solid understanding of ethics and its application to data and AI
- General knowledge of data and AI regulations
- Team leadership and strategic planning
- Communication and stakeholder engagement
Learn more about working at Sage:
Watch a video about our culture:We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out at .
Learn more about DEI at Sage: