PBTB - Manager, Health Performance Management

Benefits

Additional Information

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 Manager of Analytics is responsible for managing analytics projects, conducting data analysis, and translating data into actionable insights. This role involves working closely with business stakeholders to support their data needs and ensure the organization makes data-driven decisions. Portfolio Monitoring and Campaign Analytics: Support Health Sales Analytics monitoring and campaign tracking. Analytics Project: Lead analytics projects from start to finish, ensuring deliverables meet business needs Dashboard: Develop and automate dashboards to communicate key performance metrics to stakeholders Data Analytics: Utilize analytical techniques to analyze datasets and generate insights related to the health portfolio, such as cost drivers and customer behavior relating to health plans. Assist in implementing data models and ensuring data quality. Risk Monitoring : Monitor and analyze risks associated with health insurance products or healthcare services, including underwriting and medical cost risks. Report findings and suggest mitigation strategies. Team Collaboration : Collaborate with cross-functional teams, including underwriting, finance, and product development, to support project needs and provide actionable insights. Communicate key data points to stakeholders to support decision-making. Compliance Support: Assist in ensuring compliance with regulatory requirements and actuarial guidelines. Keep informed on regulatory changes and ensure reporting adheres to standards. Operational Planning: Contribute to the operational planning and execution of strategic initiatives by providing data-driven insights and supporting the alignment of analytics with business goals. Actuarial Support: Assist with actuarial analysis and modeling to assess risks, estimate reserves, and contribute to pricing strategies for health takaful products. Work closely with actuarial teams to implement models. Key Requirements: Bachelor's Degree or Master's in Data Science, Actuarial, Engineering, Statistics or similar field 3-5 years of experience in data analytics, with at least 2 years in a leadership or supervisory role. Strong proficiency in Machine Learning tools (Pythons, R, SQL, PowerBI) Sound technical knowledge in Machine Learning techniques such as Linear regression. GLM, GBM, clustering Experience working with cross-functional teams and managing relationships with stakeholders Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.