Head of Data & AI

Why join the Novacore team? Because your next stellar chapter starts here - and we're building something bold and meaningful.At Novacore, we're not your average insurance company. We're a team of driven professionals passionate about redefining the specialty insurance experience for our agents, carrier partners - and for each other.We specialize in tailored solutions for niche industries, powered by advanced analytics, modern technology and a culture of innovation. Backed by strong leadership and strategic growth initiatives, Novacore is poised to scale and lead in the specialty insurance market.But at our core, we believe it's not just what we do - it's how we do it and who we do it with.Recognized as a top workplace, Novacore is a place where ambition is supported, growth is continuous and culture matters. From day one, you'll find mentorship, hands-on learning and clear paths for advancement. You'll grow your skills, expand your expertise and become even more exceptional - because when you succeed, we all do.We offer:A collaborative, results-driven environmentCompetitive compensation and comprehensive benefitsYear-round social and community eventsOngoing mentorship and professional developmentEndless opportunities for upward mobilitySo if you're ready to be part of something extraordinary - with a team that's transforming commercial insurance - we want to meet you.Head of Data & AIWe are hiring a transformational SVP of Data & AI to architect and scale the data foundation and AI capabilities that will define Novacore's underwriting advantage. This role partners directly with underwriting, finance, reinsurance, and executive leadership.This is not a reporting function; this is a value-creation function.Novacore is a leading specialty insurance MGA operating across commercial P&C and reinsurance programs. Backed by New Mountain Capital, we are executing a multi-year transformation to build a modern underwriting intelligence platform powered by enterprise data architecture, AI-driven risk modeling, and proprietary analytics.In this role, you will build and operate a differentiated underwriting intelligence platform that:• Improves loss ratio performance• Increases underwriting speed and precision• Enhances reinsurance negotiations and capital efficiency• Protects proprietary rating and aggregation logic• Scales responsibly across multiple specialty programsResponsibilities:Enterprise Data PlatformLead architecture of enterprise data ecosystem (Microsoft Fabric, OneLake, Databricks, Azure)Design canonical insurance + reinsurance data modelImplement domain-driven data products across business unitsEstablish modern data engineering practices (ELT, dbt, CI/CD, feature store)AI & Advanced AnalyticsBuild predictive underwriting and loss modeling capabilitiesDeploy AI-powered submission intake and risk enrichmentDevelop portfolio optimization and aggregation intelligenceImplement production ML lifecycle management (MLOps)Advance agentic workflows across underwriting operationsReinsurance & Capital AnalyticsModernize treaty and layer performance modelingDeliver real-time portfolio and attachment point analyticsSupport capital allocation and carrier negotiations with data transparencyData Governance & IP ProtectionEstablish enterprise data governance frameworkImplement role-based access, data lineage, auditabilityProtect proprietary underwriting models from vendor lock-inEnsure regulatory alignment and model explainabilityOrganizational LeadershipBuild and lead high-performing Data & AI organization:Data EngineeringAnalytics EngineeringData Science / MLBI & ReportingImplement hub-and-spoke analytics modelEmbed analytics into underwriting workflowsDevelop talent, standards, and operating rhythmQualifications:15+ years in data, analytics, or AI leadership5+ years in senior executive role (SVP / Head of Data / CDAO / VP Analytics)Experience in P&C insurance, MGA, reinsurance, or financial services preferredProven success building enterprise data platforms at scaleDemonstrated delivery of production AI/ML systemsDeep understanding of portfolio risk, loss ratios, and underwriting economicsExperience in PE-backed or transformation-driven environments preferredAbility to operate at Board level and translate technical strategy into enterprise valueLeadership Profile necessary for success in this role:• Builder who can architect and ship• Insurance-fluent technologist• Data strategist with operational discipline• Executive comfortable driving cross-functional change• Leader who understands that governance is as important as innovation

Created: 2026-04-02