Vice President, Reinsurance Data, Analytics & Business Performance

Job Description
About Everest

Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.

Vice President, Reinsurance Data, Analytics & Business Performance is responsible for leading the strategy, roadmap, and delivery of data, reporting, analytics, and business performance capabilities across Everest's Reinsurance organization. This role partners closely with Underwriting, Claims, Finance, Operations, Technology, and Insurance Data & Analytics teams to deliver trusted data, actionable insights, and scalable analytics solutions to drive data-enabled decision‑making and business outcomes.

Success in this position requires strong reinsurance domain knowledge, stakeholder management skills, analytics expertise, and the ability to collaborate and lead teams to influence outcomes across our global organization.

A key responsibility of this role is advancing Everest's Reinsurance data maturity by strengthening data governance, data quality, and stewardship practices across critical business domains. The role will champion the adoption of enterprise data standards and help establish a disciplined approach to managing and governing data as a strategic asset.

• Develop and execute the Reinsurance data, analytics, reporting, and business performance strategy aligned with business objectives and enterprise data priorities.
• Partner with senior leaders across Underwriting, Claims, Finance, Operations, and Executive Management to identify priorities and deliver data-driven solutions that improve business outcomes.
• Own the Reinsurance data and analytics roadmap, translating business strategy into a prioritized portfolio of data, reporting, and analytics initiatives.
• Collaborate with Technology and Enterprise Data & Analytics teams to define requirements, prioritize investments, and deliver scalable data and analytics capabilities.
• Lead the development and continuous enhancement of operational, management, and executive reporting solutions, ensuring stakeholders have access to timely and actionable insights.
• Establish and oversee key performance indicators, scorecards, dashboards, and performance measurement frameworks, including governance of KPI definitions, reporting standards, and methodologies.
• Provide leadership and direction for Power BI capabilities, including reporting standards, data modeling, visualization best practices, and self-service analytics adoption.
• Define and advance Reinsurance data governance, data stewardship, and ownership practices to improve accountability, consistency, and trust in enterprise data.
• Establish and mature data quality capabilities, including critical data element management, data quality metrics, monitoring, issue remediation, and continuous improvement processes.
• Evaluate and implement opportunities to leverage AI and emerging analytics capabilities to improve access to information, enable natural language querying, and deliver AI-driven insights to business users.
• Partner with business stakeholders to identify opportunities for process improvement, operational efficiencies, portfolio optimization, and business growth through analytics.
• Communicate business performance, key insights, opportunities, and risks through executive presentations, dashboards, and leadership forums.
• Lead, develop, and mentor a high-performing team while fostering a culture of accountability, business partnership, innovation, and continuous improvement.

• Bachelor's degree in Business, Finance, Economics, Analytics, Information Systems, Mathematics, Data Science, or a related discipline; advanced degree preferred.
• 12+ years of progressive experience in data & analytics, business intelligence, performance management, data strategy, or related leadership roles.
• Deep Reinsurance industry experience with strong knowledge of underwriting, claims, finance, operations, portfolio management, and performance metrics.
• Demonstrated experience leading enterprise reporting, analytics, and business intelligence functions that support business and executive decision-making.
• Advanced Power BI expertise, including dashboard design, data modeling, KPI frameworks, visualization best practices, and self-service analytics enablement.
• Proven experience partnering with business and technology teams to define requirements, prioritize initiatives, and deliver data, reporting, and analytics capabilities.
• Strong understanding of data governance, data quality, metadata management, and enterprise data management principles.
• Experience establishing data stewardship, ownership, and data quality processes across multiple business domains.
• Familiarity with modern…