Job Description - Manager / Senior Manager, Data & AI Governance
What You'll Do
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.
Requirements
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.
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.
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