Senior Manager, Health Data Strategy and Analytics Management

7 months ago


Hong Kong, Hong Kong SAR China Prudential plc Full time

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

The Senior Manager, Health Data Strategy & Analytics Management is responsible for the design and successful implementation of a market-leading Data & Analytics strategy that aims to improve the collection, management and analysis of all relevant health data.

Role and Responsibilities

Develop frameworks for the effective collection of relevant health-specific data, and work with Data & Analytics and other teams to implement these frameworks Analyse health-specific data and develop relevant insights that will further inform the health strategy for Prudential as a group and each of the individual LBUs Present relevant data and insights to various internal stakeholders in a compelling and comprehendible way, allows these stakeholders to turn these insight into relevant actions. Working backwards from the relevant used cases, identify opportunities for improved data collection across the entire value chain, and implement ways to ensure quality data is collected and managed. Effectively partner with other teams to provide the data and analytics that can improve medical cost containment, connected care journeys, medical underwriting practices etc. Identify suitable tools that can support our health-specific data and analytics capabilities, and work with LBUs and Technology to implement these tools across all relevant markets.

Qualifications

Bachelor’s degree in Health informatics, statics, mathematics or a related field Experience in data analysis and visualization methods Understanding of healthcare procedures Knowledge of extract, transform and load (ETL) framework Excellent analytical and communication skills

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