AI & Data Governance Lead

AXA Hong Kong and Macau; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

AXA Hong Kong and Macau is seeking an AI & Data Management and Governance Manager to lead integrated governance for data and AI across products, analytics, ML and AI-enabled solutions. You will design, implement and improve governance frameworks, policies and controls, partnering with Business, IT, Risk, Legal, Privacy and Architecture teams.

The role focuses on data ownership, metadata, lineage, quality, and master data management, translating strategy into roadmaps, and driving governance

Qualifications

• Bachelor's degree in Computer Science, IT, Data Science or related discipline.
• Typically 5-8+ years in Data or AI Governance, Data Management, Technology Risk, Information Security, Strategy, or transformation roles.
• Experience developing or implementing governance frameworks, policies, standards, controls, operating models, or assurance processes for Data and/or AI.
• Strong understanding of Data and AI lifecycles, risks, governance, accountability, controls, and monitoring.
• IT or Cyber Security knowledge preferred, including cloud, architecture, secure design, IAM, data protection, third-party risk, controls, or technology risk.
• Experience with metadata, lineage, data quality, MDM, data catalogues, or governance tooling is advantageous.
• Familiarity with DAMA-DMBOK, NIST, ISO, COBIT, or similar governance, security, and risk practices is advantageous.
• Excellent stakeholder management, communication, facilitation, influencing, analytical, and problem-solving skills.
• Financial services or regulated industry experience is advantageous.

Responsibilities

• Lead design, implementation and improvement of data/AI governance frameworks and controls.
• Embed governance-by-design across data products, analytics, ML and AI-enabled solutions.
• Coordinate governance and risk assessments covering accountability, data quality, privacy, cyber security, model risk, transparency, oversight, third-party risk, compliance, and resilience.
• Partner with Business, IT, Cyber Security, Risk, Legal, Compliance, Privacy, and Architecture teams to set requirements and resolve governance issues.
• Maintain governance artefacts, registers, decisions, exceptions, risk and issue logs, and evidence for forums, assurance, audit, and regulators.
• Define and track governance metrics, maturity, control effectiveness, remediation, and adoption outcomes.
• Provide practical guardrails that enable responsible innovation and meet control requirements.
• Drive data ownership, stewardship, classification, metadata, lineage, quality, master and reference data, retention, and issue management.
• Promote Data by Design and embed requirements, ownership, quality controls, and checkpoints into change and technology initiatives.
• Enhance metadata and MDM capabilities with IT and business stakeholders to improve adoption, automation, efficiency, and readiness.
• Establish scorecards and monitoring to assess data quality, readiness, maturity, and control effectiveness.
• Guide resolution of complex data quality, ownership, metadata, lineage, and governance issues through relevant forums.
• Support Data and AI strategy design and execution in line with business priorities, technology direction, risk appetite, and corporate goals.
• Translate strategy into roadmaps, operating models, governance priorities, delivery plans, and measurable outcomes.
• Assess emerging Data and AI trends, technologies, regulations, and industry practices, and advise management.
• Support prioritization and investment decisions by assessing value, risk, readiness, dependencies, and governance implications.
• Prepare decision papers, dashboards, progress reports, and management materials.
• Advise senior leaders, Data and AI owners, product teams, and control functions on governance, strategy, risk, and responsible adoption.
• Prepare and facilitate governance forums with clear agendas, quality materials, documented decisions, ownership, and follow-through.
• Build cross-functional relationships, influence in a matrix environment, and secure sponsorship for governance initiatives.
• Deliver communication, training, and awareness programs to strengthen Data and AI literacy, Responsible AI awareness, and governance culture.
• Help teams understand governance requirements and embed them into operations and change initiatives.
• Promote knowledge sharing, communities of practice, and consistent Data and AI governance standards.

Skills

Stakeholder management

Communication

Facilitation

Influencing

Analytical

Problem solving

Leadership

Education

Bachelor's degree in Computer Science/IT/Data Science

Master's degree advantageous

Job description

AXA Hong Kong and Macau is seeking an AI & Data Management and Governance Manager to lead integrated governance for data and AI across products, analytics, ML and AI-enabled solutions. You will design, implement and improve governance frameworks, policies and controls, partnering with Business, IT, Risk, Legal, Privacy and Architecture teams.

The role focuses on data ownership, metadata, lineage, quality, and master data management, translating strategy into roadmaps, and driving governance