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Assistant Manager, Data Management And Governance - Job Opportunity at AXA Hong Kong

Hong Kong, Hong Kong
Full-time
Mid-level
Posted: June 4, 2025
On-site
HKD 600,000 - 800,000 per year (USD 77,000 - 102,000), reflecting the mid-level management position in Hong Kong's competitive financial services market, with premium compensation for specialized data governance and AI expertise in a global insurance organization

Benefits

Comprehensive employee well-being programs designed to enhance work-life balance and professional satisfaction in a competitive insurance market
Professional growth and career development opportunities with structured advancement pathways in a global insurance leader
Inclusive and diverse work environment that values individual differences and promotes equal opportunity advancement
Access to cutting-edge technology and digital transformation initiatives that enhance professional skill development
Mental health support services and products, positioning employees at the forefront of workplace wellness innovation
Sustainability and ESG-focused workplace culture that aligns with global environmental and social responsibility trends

Key Responsibilities

Lead metadata management platform initiatives by collaborating with business analysts and solution designers to establish core change management processes that drive organizational data maturity and competitive advantage
Drive Master Data Management system ownership through strategic collaboration with IT stakeholders, focusing on automation and process optimization that directly supports business growth and operational efficiency
Conduct comprehensive AI governance research and risk assessments to position the organization at the forefront of ethical AI implementation while ensuring regulatory compliance and competitive differentiation
Manage high-impact data management initiatives while supporting Data Board strategic decision-making processes that validate investments and drive organizational data strategy alignment
Serve as a trusted advisor and subject matter expert, building deep stakeholder relationships that influence organizational data culture and incorporate Data by Design principles into major business transformations
Champion organizational data strategy implementation through cross-functional collaboration and strategic communication that drives enterprise-wide data literacy and adoption

Requirements

Education

Bachelor's Degree in Computer Science, Engineering, Information Management, or a related field; a Master's degree in a related field is highly desirable

Experience

3-5 years of experience in working with complex data infrastructure and IT systems

Required Skills

Proficiency in coding and scripting languages (e.g., Python, R) to support data management processes and automation Hands-on experience in cloud services, database operations, and maintenance Practical experience in metadata management systems and MDM-related topics Prior experience in AI governance Excellent communication and influencing skills Ability to perform well in a matrix environment and engage comfortably with senior business leaders Proven record of delivering and implementing IT projects within specific timelines and to agreed quality levels Previous exposure to or knowledge of the insurance and financial services industry Excellent problem-solving and analytical skills Proactive with a can-do attitude
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Sauge AI Market Intelligence

Industry Trends

The insurance industry is experiencing unprecedented digital transformation driven by regulatory requirements for enhanced data governance and AI transparency, creating substantial demand for professionals who can bridge technical data management with business strategy and regulatory compliance Financial services organizations are rapidly implementing comprehensive data governance frameworks to meet evolving privacy regulations like GDPR and local data protection laws, while simultaneously leveraging AI and machine learning for competitive advantage Master Data Management has become a critical strategic initiative for large financial institutions seeking to break down data silos, improve customer experience, and enable real-time decision-making capabilities across multiple business lines AI governance is emerging as a distinct professional discipline within financial services, driven by regulatory scrutiny, ethical AI requirements, and the need to manage AI-related risks while maintaining innovation momentum

Role Significance

Typically manages or influences 3-5 direct reports or project team members, while collaborating across multiple business units and serving as a matrix leader for data governance initiatives involving 10-15 stakeholders
This Assistant Manager position represents a strategic mid-level role with significant influence over organizational data strategy and governance frameworks, positioned to drive enterprise-wide data initiatives while building toward senior data leadership responsibilities

Key Projects

Enterprise-wide Master Data Management system implementations that standardize customer, product, and financial data across multiple business lines and geographic regions AI governance framework development and deployment that establishes ethical AI practices, risk management protocols, and regulatory compliance mechanisms Data quality and metadata management initiatives that improve data discovery, lineage tracking, and regulatory reporting capabilities across the organization

Success Factors

Ability to translate complex technical data management concepts into strategic business value propositions that resonate with senior leadership and drive organizational investment in data initiatives Strong stakeholder management capabilities that enable effective collaboration across IT, business units, compliance, and risk management teams in a complex matrix organizational structure Deep understanding of financial services regulatory landscape combined with practical experience in implementing data governance frameworks that meet both compliance requirements and business objectives Proven project management skills with the ability to deliver complex data initiatives on time and within budget while managing competing priorities and organizational change resistance

Market Demand

High demand driven by regulatory compliance requirements, digital transformation initiatives, and the critical need for data governance expertise in financial services organizations across Asia-Pacific markets

Important Skills

Critical Skills

Python and R programming proficiency represents essential technical credibility for automating data processes, conducting advanced analytics, and collaborating effectively with technical teams in an increasingly automated data management environment Master Data Management expertise provides the foundational knowledge necessary to drive enterprise data standardization initiatives that directly impact customer experience, regulatory compliance, and operational efficiency across multiple business lines Stakeholder management and communication skills enable the translation of complex technical concepts into business value propositions, making these capabilities essential for securing organizational support and resources for data initiatives

Beneficial Skills

AI governance experience positions professionals at the forefront of an emerging field that will become increasingly critical as financial services organizations expand their artificial intelligence capabilities while managing associated risks Insurance industry knowledge provides valuable context for understanding regulatory requirements, customer data sensitivity, and business model implications that enhance the effectiveness of data governance initiatives Cloud services expertise aligns with ongoing digital transformation trends and enables participation in modern data architecture decisions that will shape the organization's technical foundation for years to come

Unique Aspects

This role uniquely combines traditional data management responsibilities with emerging AI governance expertise, positioning the professional at the intersection of established data practices and cutting-edge artificial intelligence implementation
The position offers direct exposure to Data Board strategic decision-making processes, providing unusual visibility into executive-level data strategy discussions and investment prioritization for a mid-level role
AXA's emphasis on mental health innovation and sustainability creates opportunities to work on data initiatives that support socially responsible business practices and innovative insurance product development

Career Growth

Typically 3-4 years to senior management roles, with progression dependent on successful delivery of major data initiatives, leadership development, and acquisition of additional business domain expertise

Potential Next Roles

Senior Manager or Director of Data Governance with expanded responsibility for enterprise data strategy and larger team leadership Chief Data Officer or Head of Data Management roles within financial services organizations seeking comprehensive data leadership Data Strategy Consultant positions with major consulting firms specializing in financial services digital transformation

Company Overview

AXA Hong Kong

AXA Hong Kong operates as a leading diversified insurance provider within the AXA Group's global network of 50 markets serving 95 million customers worldwide, positioning employees within a stable, internationally recognized financial services organization with substantial resources for professional development and career advancement

As the largest General Insurance provider in Hong Kong and a major Health and Employee Benefits provider, AXA Hong Kong offers significant market stability and growth opportunities while providing exposure to diverse insurance products and customer segments
Hong Kong serves as a critical Asia-Pacific hub for AXA's regional operations, providing employees with exposure to international business practices, cross-cultural collaboration, and potential career mobility within the global AXA network
The organization emphasizes diversity and inclusion, sustainability leadership, and digital innovation, creating a progressive work environment that values individual growth while maintaining the stability and structure of a established financial services institution
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