This role will play a key part in establishing and enhancing enterprise-wide data governance, AI governance, data quality, and responsible AI frameworks. The successful candidate will work closely with business stakeholders, technology teams, risk, compliance, and data management functions to ensure data and AI assets are governed effectively and aligned with regulatory expectations.

Key Responsibilities

• Drive the implementation and continuous enhancement of enterprise Data Governance and AI Governance frameworks.
• Develop and maintain governance policies, standards, controls, and operating models covering data management and AI life cycle management.
• Establish and monitor data quality metrics, governance KPIs, and control frameworks.
• Collaborate with business and technology stakeholders to define data ownership, stewardship, metadata management, and data lineage practices.
• Support the governance, risk assessment, monitoring, and approval processes for AI and machine learning use cases.
• Conduct governance reviews and ensure compliance with internal policies and regulatory requirements.
• Promote data management and responsible AI best practices across the organisation.
• Prepare governance reports, management updates, and committee materials for senior stakeholders.
• Participate in data transformation and AI adoption initiatives across different business functions.

Requirements

• Degree holder in Computer Science, Information Systems, Data Science, Business Analytics, Risk Management, or related disciplines.
• Fluent in Cantonese, Mandarin, and English
• At least 8+ years of relevant experience
• Proven experience in Data Governance, Data Management, Data Quality, Data Risk, AI Governance, or related areas within financial services.
• Solid understanding of data governance frameworks, operating models, and controls.
• Familiarity with AI governance, model risk management, responsible AI principles, and emerging regulatory expectations.
• Hands-on experience with data governance tools, data catalogues, metadata management, lineage, or data quality platforms.
• Strong stakeholder management skills with the ability to engage senior business and technology leaders.
• Excellent analytical, communication, and presentation skills.
• Experience within banking, insurance, financial institutions, or highly regulated environments is preferred.
• Knowledge of industry frameworks such as DAMA-DMBOK, BCBS 239, Model Risk Management, or Responsible AI frameworks.
• Exposure to enterprise data platforms, cloud-based data solutions, analytics, or AI/ML initiatives.
• Relevant certifications such as CDMP, DCAM, CIMP, CBIP, AWS, Azure, or AI Governance-related certifications would be advantageous.

What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.