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Strategy & Thought Leadership
路 Develop and own the enterprise business intelligence and analytics strategy ensuring alignment with organizational objectives.
路 Define the long-term vision for analytics capabilities, predictive modeling, and BI innovation.
路 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.
路 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
路 Design and guide advanced analytics frameworks鈥攊ncluding predictive modeling, risk scoring, pricing optimization, and customer lifetime value analysis鈥攖o inform decisions, uncover opportunities, and shape data product concepts that meet internal and client needs.
路 Define strategic data requirements and visualization standards that support executive-level insight and decision-making.
路 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.
路 Enable business units to extract actionable intelligence from actuarial forecasts, claims trends, fraud patterns, and policyholder behavior.
路 Partner with internal teams and external stakeholders to ensure insights align with client-specific goals, compliance standards, and industry best practices.
Technology & Infrastructure Vision
路 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.
路 Guide the evaluation and selection of analytics tools, platforms, and architectural frameworks to support scalability and agility.
Data Governance & Privacy
路 Establish best practices in data governance, stewardship, and data privacy to ensure high-quality, secure data across the organization.
路 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
路 Collaborate with business leaders to ensure analytics initiatives align with evolving priorities and enterprise objectives.
路 Provide strategic guidance to data analysts and BI professionals to ensure alignment with enterprise data strategy and business objectives.
路 Define enterprise-wide analytics priorities and success metrics, fostering consistency in KPI frameworks and data visualization standards across functions.
#LI-SM3
路 Bachelor鈥檚 degree in Data Science, Statistics, Actuarial Science, Computer Science, or related field; Master鈥檚 preferred
路 10+ years of progressive leadership experience in data analytics, preferably within the health or life insurance sectors
路 Strong knowledge of insurance data sources such as claims, policy administration, enrollment, provider networks, and health risk scores
路 Proven success in deploying predictive models, machine learning solutions, and modern data visualization tools
路 Familiarity with regulatory data requirements and compliance mandates in health and life insurance
路 Exceptional communication and leadership skills with the ability to communicate effectively with executive leadership
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