VP AI Data Engineering, Business Insurance

VP IT Management - IM04AE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. Join The Hartford as we continue to advance data and AI capabilities across Business Insurance.

We are seeking a highly accomplished Vice President of AI Data Engineering to lead the Business Insurance Data Engineering portfolio. This executive will shape the strategy, organization, and delivery of trusted, governed, scalable, and AI-ready data capabilities that enable Business Insurance priorities. The ideal candidate brings deep Data Engineering expertise, strong Property & Casualty insurance acumen, and a record of leading large technical organizations and complex portfolios.

The role requires the ability to translate business strategy into data products, modernization priorities, AI-ready data foundations, workforce capabilities, and measurable outcomes in partnership with business and technology leaders. This is an opportunity for a strategic data leader to shape the future of Business Insurance by strengthening the data foundations required for analytics, automation, machine learning, generative AI, and emerging agentic AI capabilities.

This role can have a Hybrid work arrangement and can be based in Hartford, CT or the NYC/NJ metro area. Must be eligible to work in the US without company sponsorship.

Define and champion the Business Insurance AI Data Engineering strategy and operating model, translating business priorities into multi-year portfolio plans, capability roadmaps, workforce requirements, and measurable outcomes. Set priorities and allocate resources across data products, modernization, AI-ready data foundations, technical debt, operational resilience, and emerging business needs. Ensure delivery and ongoing operation of trusted, reusable, and scalable data products, pipelines, semantic assets, and data foundations supporting analytics, automation, machine learning, generative AI, RAG, and agentic AI.

Lead the Business Insurance agentic analytics strategy, enabling governed AI agents and decision-support experiences that can discover, interpret, reason over, and act on trusted enterprise data while maintaining human accountability for material business decisions. Build and scale enterprise data intelligence layers that combine business semantics, contextual metadata, ontologies, knowledge graphs, metrics, policies, lineage, and access controls so analytics and AI consistently interpret Business Insurance data in the right business context.

Establish reusable semantic layers and governed business metrics across underwriting, pricing, distribution, servicing, claims, risk, customer, operations, and finance, reducing inconsistent definitions and accelerating trusted self-service and AI-assisted analysis. Partner with Analytics, AI, Architecture, Product, Governance, and business leaders to deliver context-rich data products and retrieval patterns that ground generative and agentic AI in authoritative data, approved definitions, and traceable evidence.

Define the operating model and controls for agentic data and analytics, including agent access, identity, authorization, observability, evaluation, audit trails, feedback loops, exception handling, and lifecycle management. Connect Data Engineering capabilities to outcomes across underwriting, pricing, distribution, servicing, claims, risk management, customer, operational, and financial priorities. Guide the evolution of structured and unstructured data capabilities, including metadata, semantic…