Key Responsibilities
- Develop and maintain Group-wide data and AI governance policies, standards, and guidelines.
- Establish governance requirements across the AI lifecycle, from use-case assessment and approval through deployment, monitoring, and retirement.
- Work with Business Units to define data ownership, stewardship, quality, usage, and accountability.
- Assess data readiness for AI initiatives, including quality, lineage, access, privacy, ownership, and retention.
- Conduct AI risk assessments and monitor risks, exceptions, approvals, and remediation actions.
- Establish responsible AI standards covering transparency, reliability, privacy, security, traceability, and human oversight.
- Develop standardised governance templates, checklists, and documentation requirements.
- Partner with Group IT to implement appropriate access, data protection, logging, monitoring, and operational controls.
- Ensure AI solutions receive required business and IT approvals before accessing corporate data or entering production.
- Maintain the AI governance register and report on governance maturity, risks, exceptions, and remediation progress.
Requirements
- Degree in Data Management, Information Systems, Computer Science, or a related discipline.
- Minimum 10 years of relevant experience, including at least 5 years in data governance, information governance, risk, compliance, analytics, or enterprise transformation.
- Proven experience implementing governance frameworks across multiple business functions and engaging senior stakeholders.
- Strong understanding of data ownership, stewardship, quality, metadata, lineage, classification, privacy, retention, and records management.
- Practical knowledge of generative AI, machine learning, and AI agents, including associated governance and operational risks.
- Experience designing risk assessment, approval, exception management, and assurance processes.
- Good understanding of enterprise data platforms, IAM, information security, cloud services, and system integration.
- Familiarity with frameworks such as ISO 27001, NIST, and established data management practices.
- Experience with audits, control reviews, Microsoft Fabric, or agentic AI solutions would be advantageous.
- Relevant certifications in data, privacy, risk, audit, cybersecurity, or project management are preferred.
- Strong analytical, stakeholder management, communication, and problem-solving skills.
- Fluent in English and Chinese.

Job ID 560988
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