Associate Director / Senior Manager, Data & BI
On-siteHung Hom, Kowloon City, Hong Kong
Job Summary
Own the business adoption strategy for Client 360 analytics and design self-serve capabilities that empower users to explore data and answer day-to-day business questions. Act as the business owner for the BI layer, partnering with Data Engineering and Product teams to define analytical data products, semantic layers, and reusable views that ensure consistent metric alignment across dashboards and reporting systems. Drive the evolution of the data ecosystem by promoting reuse of certified datasets, reducing duplicate silos, and establishing usage standards to improve data literacy and confidence. This role sits within Data & Analytics, partnering closely with Distribution, Marketing, Operations, Product, and Senior Management across Life & Health and Wealth & Pension. The position focuses on enabling the business to access, understand, and confidently use C360 data through intuitive dashboards and governed self-service analytics so data is embedded into everyday management and executive discussions.
Required Qualifications
- Strong hands-on experience in Business Intelligence and analytics application development, with a track record of delivering enterprise-grade dashboards and reporting solutions
- Advanced proficiency in Tableau for dashboard design, data visualization, and storytelling
- Strong programming capability in Python for: Data transformation and pipeline development, Automation of reporting and analytics workflows
- Solid experience in AWS data ecosystem, including: AWS Glue for ETL/data pipeline orchestration
- Familiarity with Athena, S3, and data lake concepts
- Proven ability to design and build data pipelines / data marts / analytics layers, ensuring scalability and reusability
- Strong SQL skills with experience handling large-scale client, policy, or transactional datasets
- Experience in building data pipeline frameworks / reusable data products to support self-service analytics
- Experience in designing end-to-end BI architecture, including: Data ingestion → transformation → semantic layer → visualization
- Strong understanding of: Data modelling (star schema, dimensional modelling), Semantic layers / certified datasets / reusable data assets
- Ability to ensure data consistency, KPI alignment, and governance across dashboards and reporting layers
- Experience working with data lake / data hub environments (e.g. AWS-based platforms)
- Strong experience in: KPI framework design, Performance reporting and management dashboards, Self-service analytics enablement
- Ability to translate business needs into: Scalable BI solutions, Actionable insights and decision-support tools
- Deep understanding of business-facing BI adoption and usability, not just technical delivery
- 8–12+ years of experience in Business Intelligence, data analytics, or data engineering roles
- Experience in insurance / financial services
Desired Qualifications
- Experience working with Client 360, CRM, or enterprise data platforms
- Experience in insurance / financial services is strongly preferred
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