AVP Applied AI, Claims

The Hartford

AVP leading Applied AI for the Claims organization, transforming end-to-end Claims processes. Developing and scaling AI capabilities to enhance outcomes, processes, and experiences.

Posted 5/31/2026full-timeConnecticut, Illinois, North Carolina, Ohio • 🇺🇸 United StatesLead💰 $182,400 - $273,600 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Own delivery, performance, and risk outcomes for a large, complex Claims Applied AI portfolio spanning multiple teams, domains, and value streams
Drive measurable business value across the end-to-end claims journey by developing, testing, deploying, and scaling Predictive, Generative, and Agentic AI solutions
Be the senior business partner for Claims leaders
Build deep partnerships within portfolio and value stream frameworks
Lead and develop senior leaders and teams
Provide portfolio-level technical direction and oversight
Ensure disciplined architecture and delivery trade-offs across quality, grounding, latency, cost, scalability, and regulatory risk
Establish and enforce evaluation, monitoring, and production readiness across solution types
Set governance expectations for unstructured data and retrieval across Claims
Accountable for AI governance and compliance-by-design across the Claims portfolio
Influence technology integration and platform strategy
Champion reuse and scalability by partnering with AI platform owners and peers
Provide thought leadership and change leadership
Oversee portfolio planning, dependencies, resourcing, and financial stewardship

Requirements

What you’ll need

12+ years of applicable experience in Data Science, Applied AI, Analytics, Machine Learning Engineering, or related fields
7+ years of formal people leadership experience (leading leaders and/or multi-team organizations)
Insurance and/or Claims domain experience strongly preferred, with demonstrated success driving AI-enabled process transformation
Bachelor's degree required; Master’s or Ph.D. preferred in Machine Learning, Data Science, Computer Science, Applied Mathematics, or similar analytical field
Proficiency with cloud platforms (preferably AWS or GCP) and their AI/ML ecosystems

Benefits

Comp & perks

Competitive salary
Short-term or annual bonuses
Long-term incentives
On-the-spot recognition

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data ScienceApplied AIAnalyticsMachine Learning EngineeringPredictive AIGenerative AIAgentic AIAI governanceProcess transformationCloud platforms

Soft Skills

LeadershipPartnership buildingTechnical directionChange leadershipGovernance settingInfluencingOversightCommunicationFinancial stewardshipPortfolio planning

Certifications

Bachelor's degreeMaster’s degreePh.D.