Head of Data Science & AI

AXA Hong Kong and Macau; Hong Kong; On-site; HKD 2,500,000 - 3,500,000; Full time

Job summary

AXA Hong Kong and Macau seeks a senior leader to head Data Science & AI, developing strategy and leading teams across data science, machine learning, analytics, and AI product development. You will oversee end-to-end AI lifecycles, deploy scalable solutions, and ensure governance and security compliance in a regulated financial services setting.

The role requires extensive leadership experience, a strong track record in enterprise AI, and collaboration with business stakeholders to drive

Qualifications

• Bachelor's degree in CS/Math/Engineering or related field.
• 10+ years in Data Science/AI, with 5+ years in leadership.
• Proven ability to deliver enterprise AI solutions.
• Experience with Generative AI, LLMs, RAG, and emerging AI tech.

Responsibilities

• Strategic leadership of Data Science & AI initiatives.
• Lead end-to-end design, development, training, evaluation, deployment, and optimization of AI/ML solutions.
• Establish and drive enterprise MLOps and LLMOps practices.
• Partner with AI governance to ensure compliance with policies and standards.
• Collaborate with AI Platform & Innovation teams to scale capabilities.

Skills

Data Science Leadership

AI Strategy

MLOps

Stakeholder Management

Generative AI

LLMs

AI Governance

AI Platform

Education

Bachelor's degree in CS/Math/Engineering

Tools

Python

TensorFlow/PyTorch

MLflow

SQL

BigQuery

Job description

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.

Reporting directly to the Chief AI Officer (CAIO) of AXA Hong Kong & Macau, the Head of Data Science & AI is responsible for leading the organization's Data Science, Advanced Analytics, and AI development capabilities while supporting the CAIO in driving enterprise-wide Data & AI Transformation.

The successful candidate will lead multidisciplinary teams covering Data Science, Machine Learning, Advanced Analytics, Generative AI, and AI Product Development, ensuring AI solutions deliver measurable business value while complying with AXA's governance, security, risk, and regulatory requirements.

Strategic Leadership & AI Transformation

• Act as a trusted partner to the Chief AI Officer (CAIO) in the execution of AXA Hong Kong & Macau's Data & AI strategy.

Data Science & Advanced Analytics Leadership

• Lead AXA Hong Kong & Macau's Data Science & Analytics function.
• Lead the end-to-end design, development, training, evaluation, deployment, and optimization of AI and Machine Learning solutions.

AI Product Development & Lifecycle Management

• Lead the development and operationalization of enterprise AI products throughout their lifecycle.

MLOps, LLMOps & AI Operations

• Establish and drive enterprise MLOps and LLMOps practices to support production AI solutions.

Business Partnership & Stakeholder Management

• Act as the primary AI and Data Science advisor to business stakeholders.

Responsible AI, Governance & Data Collaboration

• Partner closely with the AI Governance & Data Management team to ensure AI solutions comply with established governance frameworks, policies, and standards.

Collaboration with AI Platform & Innovation Team

• Work closely with the AI Platform & Innovation team to leverage and influence enterprise AI capabilities and platforms.

Qualifications:

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Technology, or related disciplines.
• Minimum 10 years of experience in Data Science, Artificial Intelligence, Machine Learning, Advanced Analytics, or related disciplines, minimum 5 years of leadership experience managing Data Science, Analytics, or AI teams.
• Demonstrated experience developing, training, deploying, and operating AI and Machine Learning solutions in enterprise environments.
• Proven experience delivering business outcomes through AI and advanced analytics.
• Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and emerging AI technologies.
• Strong experience engaging senior business stakeholders and executive leadership teams.
• Experience in insurance, financial services, banking, consulting, or other highly regulated industries is preferred.