Manager / Senior Manager, Data & AI Governance

Salary: open

• Drive the implementation and continuous enhancement of the Bank's Data Governance and AI Governance frameworks, policies, standards and controls.
• Lead enterprise-wide initiatives to strengthen data quality, data lineage, metadata management and data ownership across business and technology functions.
• Establish and maintain AI governance processes to support the responsible and compliant adoption of AI and GenAI solutions.
• Partner with Data, Technology, Risk, Compliance and Business teams to embed governance requirements into day-to-day operations and strategic transformation programmes.
• Drive data and AI risk assessments, control reviews, issue remediation and governance reporting.
• Monitor evolving regulatory requirements and industry best practices relating to data management, AI governance, model risk and data privacy.
• Develop governance metrics, dashboards and management reporting for senior stakeholders and governance committees.
• Facilitate governance forums and working groups to ensure effective oversight of data and AI-related risks.
• Provide subject matter expertise and challenge to business and technology teams on data governance, AI governance and risk management matters.
• Promote a strong data-driven and responsible AI culture across the organisation.

• Bachelor's degree or above in Data Science, Computer Science, Information Systems, Statistics, Technology, Risk Management, or related disciplines.
• Minimum 5 years of relevant experience in Data Governance, Data Management, AI Governance, Model Risk, Technology Risk, Data Risk, Regulatory Compliance, or related areas.
• Experience gained from Big 4 firms, data/AI consulting firms, banks, insurance companies, asset management firms, or other financial services institutions is highly preferred.
• Sound knowledge of Data Governance, Data Quality Management, Data Lineage, Data Privacy, AI Governance, Responsible AI, Model Risk Management, Data Risk and Regulatory Compliance.
• Familiarity with data and AI governance frameworks, regulatory expectations, and industry standards.
• Professional certifications such as CDMP, DAMA, DCAM, CISA, CRISC, AWS/Azure AI certifications, or equivalent certifications are highly preferred.
• Strong communication and stakeholder management skills, with the ability to engage business, technology, data and risk stakeholders.
• Proficiency in English and Chinese (Cantonese and Mandarin preferred), with strong written and verbal communication skills.

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