• Responsible for the timely and accurate submissions of data calls and statistical data to state insurance departments. • Review and interpret regulatory reporting requirements and analyze the impact of such requirements. • Perform necessary data corrections when requested by a reporting entity. • Maintain detailed procedures for data calls, statistical reports, and all other processes completed. • Identify opportunities for improvements and efficiencies. • Respond to correspondence from Regulators, Partners, Third Party Administrators, and Internal Customers.

• Gather, synthesize, and analyze data from a variety of sources • Define data requirements and create dynamic, visually compelling dashboards using MS PowerBI • Work closely with cross-functional teams and report directly to the Head of Business Development & Market Intelligence • Support the development and implementation of advanced analytics and machine learning solutions

• Define and execute the BI strategy • Partner with senior stakeholders across Finance, Sales, Customer Experience, and others • Define and operationalize enterprise KPIs and executive-level dashboards • Oversee the evolution of our modern cloud data stack • Unify enterprise data models across the organization • Maintain ownership of data cataloging, quality, and governance standards • Establish rigorous data quality, observability, and reliability standards • Own vendor relationships and the BI budget • Oversee and ensure timely delivery of month-end data • Champion the use of AI and advanced analytics • Lead the transition to modern BI tools • Lead organizational change management and data literacy initiatives • Lead and mentor a global team of engineer and analyst professionals

• Define and execute the BI strategy, shifting the organization from reactive reporting to a proactive, 'intelligence-first' mindset that drives faster and better business decisions. • Partner with senior stakeholders across Finance, Sales, Customer Experience, Trust & Safely, Marketing and Product to align the BI roadmap with global goals. • Define and operationalize enterprise KPIs and executive-level dashboards to ensure consistent measurement of business performance and accountability. • Oversee the evolution of our modern cloud data stack, ensuring it is optimized for high-performance querying, cost-efficiency, scalability and reliability. • Unify enterprise data models across the organization to eliminate fragmented silos and ensure a single, governed, and trusted 'Source of Truth.' • Maintain ownership of data cataloging, quality, and governance standards while ensuring BI platforms and data assets comply with security, privacy, and regulatory requirements across regions. • Establish rigorous data quality, observability, and reliability standards to build sustained trust in analytics and reporting. • Own vendor relationships and the BI budget, focusing on Total Cost of Ownership and Databricks compute efficiency. • Oversee and ensure timely delivery of month-end data while implementing automation to streamline processes and improve long-term efficiency. • Champion the use of AI and advanced analytics to automate insights, enhance forecasting, and surface proactive recommendations for the business. • Lead the transition to modern BI tools, empowering teams to explore data independently while maintaining governance. • Lead organizational change management and data literacy initiatives to drive adoption of self-service BI and analytics across the business. • Lead and mentor a global team of engineer and analyst professionals, transitioning the function from manual data processing to high-value strategic innovation.