Associate Director, Operations and Health Data Analytics

Prudential’s purpose is to be partners for every life and protectors for every future.

The Associate Director, Operations and Health Data plays a pivotal role in driving data-led transformation across life operations and health analytics.

Job Responsibilities

Health Data Analytics Leadership

• Develop health data strategies aligned with business goals and regulatory standards.
• Design and implement predictive models for health risk prediction, claims analysis, and fraud detection.
• Build and maintain scalable data infrastructure for real-time analytics and reporting.

Life Operations Enablement

• Partner with life operations teams to identify opportunities for data to streamline workflows and enhance service delivery.
• Support straight-through processing (STP) initiatives by embedding predictive analytics and automation into core operational functions.
• Monitor operational KPIs and use data insights to drive continuous improvement and cost optimization.

Cross-Functional Collaboration

• Collaborate with teams across Ops functions, product, technology, compliance, and customer service to embed data into business processes.
• Translate business needs into actionable data solutions and ensure stakeholder alignment on priorities and outcomes.
• Foster a culture of data-driven decision-making across life and health functions.

Governance & Insights

• Ensure robust data governance, privacy, and security practices for all health and life data initiatives.
• Deliver executive-level dashboards and insights to support strategic planning and performance tracking.
• Evaluate the impact of data initiatives and refine approaches to maximize business value.

Job Requirements

• Bachelor’s degree in Data Science, Health Informatics, Business, or related field; Master’s preferred.
• Proven experience in life operations and health data analytics leadership roles.
• Strategic thinker with a hands-on approach to execution.
• Strong understanding of insurance operations, healthcare data standards, and AI technologies.
• Proficiency in data platforms (e.g., Azure, AWS), analytics tools (e.g., Python, R, SQL), and visualization software (e.g., Power BI, Tableau).
• Excellent communication, stakeholder engagement, and change management skills.