CareerPlan

Senior Customer Analytics Manager, Insurance

Hong Kong, Hong Kong, HKFull-time2026-10-05 → 2026-11-10

Core

Lead predictive analytics roadmaps, industrialize analytics processes, and drive customer strategy through advanced segmentation and lifecycle optimization for an insurance company.

Role type

Senior Customer Analytics Manager (Data Product Owner & Predictive Modeling)

Builds

Lead scoring, propensity models, next-best-action engines, upsell/cross-sell engines, and Customer Lifetime Value (LTV) models.

Domain

Insurance industry + Predictive Analytics & Customer Strategy

Deliverable

production ML models

Required skills

Predictive modeling, lifecycle optimization, advanced segmentation, campaign measurement, A/B testing, stakeholder management, data pipeline standardization, AI/automation implementation, data governance, executive communication

Preferred skills

GenAI implementation, automation of reporting

Technologies

Power BI, Tableau, Spark, Databricks

Responsibilities

Prioritize and manage data products including lead scoring and LTV models; Establish scalable processes and automation frameworks for model deployment; Collaborate on model governance for explainability and fairness; Conduct deep-dive analyses for customer acquisition and retention; Build advanced customer segmentation frameworks; Design evaluation frameworks using attribution modeling and MMM; Execute structured experimentation libraries including A/B testing; Serve as SME bridging Marketing, Product, and Data teams; Translate technical metrics into executive-ready presentations; Partner with Data Engineering to build robust data pipelines; Support GenAI and automation initiatives; Ensure compliance with regional data privacy laws and insurance standards.