Head of Data and Analytics

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.

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We are seeking a senior data and analytics leader to drive enterprise analytics transformation, enabling data‑driven decision‑making and delivering actionable insight on claims performance and cost drivers.

The position will lead data and analytics transformation to enable analytics‑driven business operations across claims and cost‑containment initiatives. The role focuses on establishing a robust spend cube, surfacing claims trends and cost drivers, tracking performance across three key sources of value, and providing engineering and architecture oversight.

Key Responsibilities

• Define and embed analytics‑enabled operating models that translate data into actionable insights for business decision‑making.
• Enable consistent measurement and performance tracking across cost, utilisation, and payment integrity initiatives.

• Establish and govern a robust enterprise spend cube to surface claims trends, cost drivers, and utilisation patterns across LoBs.
• Define and oversee analytics frameworks to track performance across the three agreed sources of value, ensuring transparency and comparability.

• Provide strategic oversight on data engineering, analytics architecture, and solution design to ensure scalability, reliability, and consistency.
• Set standards for data models, pipelines, and analytics assets aligned with enterprise architecture principles.

• Provide senior oversight on claims performance analytics across multiple lines of business.
• Identify systemic drivers of cost, leakage, and variation to inform enterprise priorities and interventions.

• Own delivery of analytics‑related KPIs, including timeliness, insight quality, adoption, and impact on cost and utilisation outcomes.
• Ensure analytics investments deliver measurable value in line with approved business cases.

Qualifications & Experience

Required

• Bachelor's degree in Data, Actuarial, Computer Science, or Business
• 10+ years experience preferably within insurance sector, with strong analytics leadership
• Deep understanding of claims performance and cost drivers
• Experience working across business + IT / data architecture

Core Competencies

• Strategic, outcome‑driven mindset with strong commercial awareness
• Ability to translate complex analytics into executive‑level insight
• Strong influencing skills across business, analytics, and IT stakeholders