Vice President, Reinsurance Data, Analytics & Business Performance
Everest - Warren, NJ
Hiring: Vice President, Reinsurance Data, Analytics & Business Performance Company: Everest Location: Warren, NJ Job Posted Time: 2026-09-10 10:39:22 Employment Type: Full-time Target Skills & Keywords : Portfolio Management, Risk Management, Stakeholder Management About the job Experience: •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. •12+ years of progressive experience in data & analytics, business intelligence, performance management, data strategy, or related leadership roles. Required Skills: •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. •Partner cross-functionally 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. Qualifications: •Bachelor's degree in Business, Finance, Economics, Analytics, Information Systems, Mathematics, Data Science, or a related discipline; advanced degree preferred. •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. •In-depth knowledge of data governance, data quality, metadata management, and enterprise data management principles. •Operational familiarity with modern cloud-based data and analytics platforms and emerging AI capabilities relevant to analytics, reporting, and decision support. •In-depth knowledge of Reinsurance underwriting economics and performance metrics, including premium growth, loss ratio, expense ratio, combined ratio, portfolio profitability, and return on capital. •Strong stakeholder management skills with the ability to influence and build relationships across senior executives, business leaders, and technology teams. •Demonstrated success leading and developing high-performing teams. Compensation: •$201,000 - $245,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!