JOB PURPOSE:Responsible for building a centralized reporting system, leveraging data for in-depth analysis, and developing data and machine learning models to support business activities (e.g., customer segmentation, behavior prediction). The role also involves deploying AI applications to enhance company-wide operational efficiency and decision-making.KEY RESPONSIBILITIES:1, Design & Implement Centralized Reporting System- Develop and maintain management reporting systems and multi-level KPI dashboards (ExCo, departments, partners).- Integrate data from multiple sources (MB Life core system, CRM, Apps, etc.) to ensure accuracy and consistency.- Collaborate with departments to standardize reporting requirements and automate information flows.2, Business Data Analysis- Extract and analyze customer behavior and distribution channel data to optimize retention, cross-selling, reactivation, and improve CLV.- Translate business questions into analytical problems and build end-to-end analytical frameworks.- Execute or supervise segmentation models, lapse prediction, renewal behavior, upsell, and cross-sell models.3, AI and Advanced Analytics Applications- Lead implementation of AI/ML products: scoring, GenAI, fraud detection, automated underwriting, etc.- Combine structured and unstructured data (digital footprints) to generate insights and behavioral models.4, Process Development & Talent Building- Establish processes to ensure efficient use and analysis of data across the company.- Train teams of Data Analysts, AI Ops, and GenAI specialists under MBAL’s competency framework.- Work closely with the Data Platform and Data Governance teams to ensure compliance with quality and security standards.