Senior Data Science Manager

AXA Hong Kong and Macau is a member of the AXA Group, a leading global insurer with presence in 50 markets and serving 95 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 Diversity and Inclusion (D&I) 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. Click here to learn more about our Benefits ( Culture ( & Career Development ( Responsibilities Lead, mentor, and inspire a high-performing team of data science analysts, fostering a culture of innovation, continuous learning, and results‑driven delivery. Demonstrate strong leadership presence, proactively driving the adoption and integration of AI and Data solutions across the organization. Drive end‑to‑end delivery of high‑impact Data & AI use cases, ensuring alignment with operational and business objectives, with a focus on automation, efficiency, and strategic growth. Develop and implement scalable data pipelines, Data Marts, and data products on Azure Cloud and Databricks, leveraging Python, PySpark, and modern cloud tools. Lead the deployment of advanced machine learning models, Large Language Models (LLMs), and Generative AI solutions (e.g., Document Understanding, Summarization, Retrieval‑Augmented Generation) with a proven track record of successful use case implementations. Build and nurture strong data business partnerships by understanding business acumen, translating complex data insights into actionable strategies, and managing mature stakeholder relationships. Support organizational change by knowledge transfer, upskilling team members in AI/ML techniques, cloud engineering, and emerging technologies. Promote best practices in AI, cloud data engineering, and analytics, ensuring high‑quality, timely delivery of initiatives while maintaining operational excellence. Proactively identify new opportunities for data‑driven automation and AI innovation that can create sustainable business value. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Statistics, AI Engineering, or a related field. 8+ years of experience in data science, AI, or machine learning, with at least 3+ years in a senior leadership or managerial capacity. Proven ability to drive strategic AI use cases supporting operations and business needs, with a strong portfolio of successful LLM and GenAI deployments. Extensive hands‑on experience with Azure Cloud, Databricks, data pipeline development, and cloud data engineering. Strong expertise in building, deploying, and operationalizing machine learning models, especially LLMs, with a track record of delivering tangible business impact. Deep understanding of business processes, with the ability to act as a mature and trusted data business partner. Excellent stakeholder management skills, capable of managing complex relationships and influencing senior leadership. Strong leadership presence, with the ability to motivate, develop, and upskill teams effectively. Proactive, innovative, and self‑driven, with a demonstrated ability to anticipate future needs and lead change initiatives. Outstanding communication skills, capable of translating technical concepts for non‑technical audiences and fostering cross‑functional collaboration. Seniority level Mid-Senior level Employment type Full‑time Job function Analyst, Science, and Strategy/Planning Industries Insurance Sha Tin District, Hong Kong SAR – 1 day ago #J-18808-Ljbffr