We are looking for a pragmatic and commercially minded APAC AI Governance & Adoption Lead to help shape how we manage unstructured data and support the responsible adoption of AI across the region.

Sitting within our global Analytics & AI team, you will develop practical governance standards for documents, emails, contracts, knowledge bases and other content that supports AI. You will also represent Data & Analytics across APAC, helping teams adopt AI tools, agents and programmes effectively.

This role would suit someone who can turn complex concepts into practical action, build support across a matrixed organisation and introduce appropriate governance without creating unnecessary bureaucracy.

What you'll be doing

• Develop a practical governance framework for how unstructured data is created, classified, stored, maintained and retired
• Support the adoption and rollout of AI tools and programmes across APAC
• Monitor and communicate the business value and performance of AI initiatives
• Work with business owners to improve data quality, manage content risks and ensure knowledge assets are suitable for AI use
• Champion knowledge management practices, including taxonomy, metadata and content lifecycle management
• Partner with Legal, Compliance and IT Security to align governance with privacy, risk and security requirements
• Support stakeholder engagement, training, communications and user enablement
• Build strong relationships across the business and influence outcomes without direct authority

About you

• At least five years’ experience in data governance, knowledge management, information management or a closely related discipline
• Demonstrated experience supporting generative AI or AI and machine learning initiatives
• A strong understanding of how unstructured data supports and affects AI systems
• Strong programme and project management skills, with a track record of delivering cross functional outcomes in a matrixed organisation
• Proven ability to influence without direct authority and build alignment and accountability across teams
• Confidence operating in ambiguous and evolving environments, with the ability to create structure where little currently exists
• Excellent communication skills, including the ability to explain technical governance concepts to non technical audiences
• A practical mindset and a focus on building governance frameworks that are useful, scalable and adopted by the business
• Experience with data privacy frameworks, enterprise content management systems, retrieval augmented generation, vector search architectures or an Analytics, Data or AI centre of excellence would be advantageous. Relevant certifications such as CDMP, IGQ, CIPP, PRINCE2 or PMP would also be viewed favourably.