VP, Business Intelligence and Data Analytics

Strategy & Thought Leadership * Develop and own the enterprise business intelligence and analytics strategy ensuring alignment with organizational objectives. * Define the long-term vision for analytics capabilities, predictive modeling, and BI innovation. * Advise executive stakeholders including Product, Consulting Verticals, Finance, Actuarial, and Operations, helping translate business needs into scalable data strategies, inform product design, and promoting a data-driven culture. * Engage directly with carrier and vendor partners and external stakeholders to provide strategic guidance on analytics frameworks and reporting best practices that support business growth and risk mitigation. Advanced Analytics & Value Realization * Design and guide advanced analytics frameworks-including predictive modeling, risk scoring, pricing optimization, and customer lifetime value analysis-to inform decisions, uncover opportunities, and shape data product concepts that meet internal and client needs. * Define strategic data requirements and visualization standards that support executive-level insight and decision-making. * Serve as a strategic data advisor in client engagements, using data to uncover meaningful insights that drive underwriting, claims, customer engagement, and overall business performance. * Enable business units to extract actionable intelligence from actuarial forecasts, claims trends, fraud patterns, and policyholder behavior. * Partner with internal teams and external stakeholders to ensure insights align with client-specific goals, compliance standards, and industry best practices. Technology & Infrastructure Vision * Define the roadmap for the deployment and optimization of BI tools (e.g., Power BI), data platforms (e.g., Azure, Databricks), and evolving cloud architecture. * Guide the evaluation and selection of analytics tools, platforms, and architectural frameworks to support scalability and agility. Data Governance & Privacy * Establish best practices in data governance, stewardship, and data privacy to ensure high-quality, secure data across the organization. * Ensure regulatory, privacy, and compliance considerations (e.g., HIPAA, SOC2, and state/federal insurance regulations) are integrated into data practices through partnership with legal and compliance. Cross-Functional Collaboration * Collaborate with business leaders to ensure analytics initiatives align with evolving priorities and enterprise objectives. * Provide strategic guidance to data analysts and BI professionals to ensure alignment with enterprise data strategy and business objectives. * Define enterprise-wide analytics priorities and success metrics, fostering consistency in KPI frameworks and data visualization standards across functions. #LI-SM3

Created: 2026-04-02