Chubb Life HK - Head of Customer Insights
Hong KongFull-timePosted May 21, 2026
- A strategic role leading Customer Insights team to look at end-to-end customer strategy via deep dive in customer and data insights
- Ability to lead and conduct market research via research house, desk research or internal survey platform
- Develop and present customer 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
- Serve as the primary point of contact between the Global Data team and the market stakeholders for data initiatives
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
- More than 10 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
- Familiar with various research tools
- 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