Chubb Life HK - Head of Data & Insights
Chubb Open · verified Oct 24, 2026 At a glance
Director-level Data Leadership role at Chubb. Hong Kong · full-time.
Pay not stated Data Leadership salary
dataroles summary, based on the employer's posting.
What you'll do
- Set the enterprise data direction and prioritize initiatives with senior leaders, linking work to customer, distribution and operational goals
- Shape insight work around customer journeys, distribution, operations and financial or actuarial needs
- Lead market research and turn analysis into customer proposition recommendations for business teams
- Build data products and promote AI and BI tools to speed insight delivery and support self-service
- Guide the data team, oversee pipelines and advanced analytics, and connect global data initiatives with market stakeholders
What you bring
- More than twelve years in analytics, data science, data engineering or a related role; life insurance experience is a plus
- A bachelor’s degree in data science, statistics, mathematics, computer science or a related discipline
- Practical background in customer experience, CRM, analytics and insight development
- People-management experience, including developing talent and influencing stakeholders across functions
- Strong capability with data visualization, analysis and programming tools, plus data engineering and pipeline processes
Who this fits
This director-level role suits someone who can lead data professionals while working directly with senior leaders and teams across the organization. You’ll need to present and report in English and be comfortable handling complex, ambiguous work.
From the employer
Act as a trusted business partner to senior leadership, collaborating with stakeholders across the organization to identify and prioritize data-driven initiatives that align with strategic goals.
Develop and execute a comprehensive insights strategy focused on optimizing customer journeys, distribution channels, operational processes & financial/actuarial solutions.
Strategic role leading Data & Insights team to look at end-to-end enterprise data strategy, resulting in usage of data to drive business goals forward across Customer, Distribution and Operational & Finance Operations journeys;
Ability to lead and conduct market research via research house, desk research or internal survey platform;
Build data products to drive the self-service data culture in the company and champions use of new tools (AI/BI) to make the delivery of insights faster.
Develop and present business insights based on data analysis to support development of customer propositions;
Collaborate with cross-functional teams including marketing, operations, agency, partnership, product development and finance, to understand their data needs and provide actionable insights.
Oversee the ongoing maintenance, enhancement, and operational reliability of the data ingestion pipeline.
Oversee the design, development, and implementation of advanced analytics and data solutions.
Lead, inspire, and develop a team of data and analytics professionals
Champion the use of data and analytics to drive decision-making and foster a data-driven culture across the organization.
Serve as the primary point of contact between the Global Data team and the market stakeholders for data initiatives.
- BaBachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
More than 12 years of experience in data analytics, data science, data engineering or a similar role, with experience in the life insurance industry being a plus.
Solid and practical experience in customer experience, CRM, and data & analytics
Profound data & analytics, and insight summary skills
Demonstrated ability to work, communicate and influence across functions and multiple stakeholders
Good communication, and presentation skills
Ability to deal with complexity and ambiguity
Proactive and willing to take challenges and enjoy exploring new things
Ability to turn consumer insights into business recommendations
Strategic thinking, fast learner and problem-solving skills
People management experience; be able to develop talents
Comfortable working with all levels of management
Ability to conduct English presentation & reports is required
Strong proficiency in data visualization tools, analysis tools and programming languages, such as Power BI, SQL and Python.
Proven experience in data engineering or data platform engineering.
Strong understanding of data pipelines, data wrangling, data transformation, and ETL processes.
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