AI & Data Management and Governance Manager

AXA Group; Hong Kong; On-site; HKD 1,200,000 - 1,800,000; Full time

Job summary

AXA Hong Kong and Macau seeks a Data & AI Governance lead to design and implement integrated governance frameworks across data products, analytics, ML, and AI-enabled solutions. The role spans governance by design, risk assessments, and cross-functional collaboration with IT, Risk, Legal, and Compliance teams.

Candidates typically bring extensive experience in data governance, AI governance, and regulatory awareness within financial services, with strong stakeholder management and leadership

Qualifications

• Bachelor's degree in Computer Science, IT, Cyber Security, Data Science, Engineering, Information Management, Risk Management, or related discipline; Master's advantageous.
• 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.
• Leadership capability with a proactive, pragmatic, collaborative mindset; people-management or mentoring preferred.

Responsibilities

• Lead the design, implementation, and improvement of integrated Data and AI governance frameworks, policies, standards, guardrails, and controls.
• Embed governance-by-design across data products, analytics, ML, generative AI, AI agents, and other 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.

Skills

Governance

Data governance

AI governance

Stakeholder management

Data management

Metadata & MDM

Analytics & risk

Regulatory awareness

Education

Bachelor's in Computer Science/IT/Data Science

Master's advantageous

Tools

Governance tooling

Data catalogues

Job description

Responsibilities:

Data & AI Governance

• Lead the design, implementation, and improvement of integrated Data and AI governance frameworks, policies, standards, guardrails, and controls.
• Embed governance-by-design across data products, analytics, ML, generative AI, AI agents, and other 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.

Data Management & Governance

• 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.

Data & AI Strategy

• 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.

Stakeholder Management & Data and AI Literacy

• 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.

Qualifications:

• Bachelor's degree in Computer Science, IT, Cyber Security, Data Science, Engineering, Information Management, Risk Management, or related discipline; Master's advantageous.
• 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.
• Leadership capability with a proactive, pragmatic, collaborative mindset; people-management or mentoring preferred.

About AXA Hong Kong and Macau

AXA Hong Kong and Macau is a member of the AXA Group, a leading global insurer with presence in 52 markets and serving 92 million customers worldwide. Our purpose is to act for human progress by protecting what matters.

As one of the most diversified insurers in Hong Kong, we offer integrated solutions across Life, Health and General Insurance. We are the largest General Insurance provider and a major Health and Employee Benefits provider. Our aim is to not only be the insurer to provide comprehensive protection to our customers, but also a holistic partner to the individuals, businesses and community we serve. At the core of our service commitment is continuous product & service innovation and customer experience enrichment, which is achieved through actively listening to our customers’ needs and leveraging and investing in technology and digital transformation.

We embrace our responsibility to be a driving force against climate change and a force for good to create shared value for our community. We are proud to be the first to address the importance of mental health through different products and services and thought leading iconic research. Our overall Sustainability Strategy, with emphasis on climate strategy and biodiversity commitment, is developed based on TCFD recommendations. We are committed to integrating environmental, social and governance factors across our business and strive to contribute to a sustainable future through 3 distinct roles - as an investor, an insurer and an exemplary company.

AXA is an equal opportunity employer. We are committed to promoting Inclusion and Diversity (I&D) by creating a work environment where all employees are treated with dignity, respect, and where individual differences are valued. We welcome and treasure diverse profiles to join our big family, and to build an inclusive culture together which allows everyone to maximise their personal potential.

Our people strategies are designed to enhance employee well-being and professional growth, ultimately empowering them to excel within the company.