Data & AI Governance Lead

岗位职责
The Data & AI Governance Lead will establish and operate the Group's business-led data and AI governance framework and help Business Units use data and artificial intelligence responsibly, consistently and with measurable value. The role will work directly with Business Unit leaders, process owners and data owners to improve data readiness, define accountable use and embed responsible AI practices. The role will work closely with Group IT, Information Security, Enterprise Architecture, Legal, Risk and Internal Audit on technical controls, architecture, data management, privacy, security and assurance. The position sits in the designated non-IT AI function and does not replace the accountability of Business Unit data owners or Group IT technical control owners.

• Develop and maintain the Group data and AI governance framework, policies, standards and practical guidance.

• Define governance requirements across the AI lifecycle, from use-case intake to release, monitoring and retirement.

• Work with Business Units to assign data owners and stewards and clarify data definitions, use, quality and oversight.

• Assess data readiness for priority AI use cases, including source, ownership, quality, lineage, access, privacy and retention.

• Facilitate AI risk assessments and track key risks, conditions, exceptions and remediation actions.

• Set practical responsible AI requirements for transparency, reliability, privacy, security, traceability and human review.

• Create reusable templates, checklists and evidence requirements for consistent AI governance.

• Work with Group IT to turn governance requirements into enforceable controls for access, data protection, logging, monitoring and operations.

• Ensure AI solutions do not use corporate data or enter production without required business and IT approvals.

• Maintain the AI governance register and report governance maturity, key risks, exceptions and remediation progress.

岗位要求
• Education and Experience:

• University degree in Data Management, Information Systems, Computer Science or related disciplines.

• Minimum 10 years of relevant experience, including at least 5 years in data governance, information governance, risk, compliance, analytics or enterprise transformation.

• Proven experience establishing governance practices across multiple business functions and influencing senior stakeholders in a sizeable organisation.

• Experience in real estate, property management, hospitality, retail or another diversified and multi-site organisation is an advantage.

• Technical and Professional Expertise:

• Strong knowledge of data ownership, stewardship, data quality, metadata, lineage, classification, privacy, retention and records management.

• Practical understanding of generative AI, machine learning and AI agents, including risks relating to data exposure, inaccurate output, bias, autonomy, human oversight and ongoing monitoring.

• Experience designing risk-tiering, approval, exception and assurance processes that are rigorous but practical for Business Units.

• Good understanding of enterprise data platforms, identity and access management, information protection, security monitoring, cloud services and system integration.

• Familiarity with recognised governance and security principles such as ISO 27001, NIST and established data-management practices.

• Ability to translate legal, risk and technical requirements into clear business actions and evidence expectations.

• Experience supporting audits, control reviews or management assurance is highly desirable.

• Experience with Microsoft Fabric and the implementation of agentic AI solutions using different AI models and platforms will be an advantage.

• A good technical background across various AI platforms, models and supporting technologies would be helpful.

• Certifications and Skills:

• Professional certification in data management, privacy, risk, audit, cybersecurity, project management or a related discipline is preferred.

• Strong business judgement and an enabling governance mindset, with the confidence to challenge constructively and escalate material risks.

• Excellent analytical, facilitation, stakeholder management and problem-solving skills.

• Independent, structured and detail-minded, with strong ownership and disciplined follow-through.

• Able to explain complex data, AI and risk matter clearly to senior executives, business users and technical teams.

• Fluent in English and Chinese with strong written, presentation and interpersonal skills.