AVP Emerging AI, Claims & Operations Data Science

The Hartford • Columbus, OH

77d • $182,400 - $273,600

About The Position

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. The Hartford is hiring an AVP leading Generative and Agentic AI solutions for the Claims and Operations organizations. This leader will play a pivotal role in transforming the end-to-end Claims and Service customer journey by developing and embedding emerging AI capabilities to enhance outcomes, process and experience. The Claims & Operations Emerging AI team builds integrated and interactive solutions with a toolkit including Natural Language Processing, Computer Vision, Machine Learning, Generative AI and Agentic AI to enhance productivity and decision support across Claims and Service Operations. We partner closely with enterprise AI Platform and peer data science teams to build a consistent approach to architecture while tailoring solutions to our customers’ unique business needs. This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT, Alpharetta, GA or Charlotte, NC) 3 days a week. Candidates must be eligible to work in the US without company sponsorship.

Requirements

• 10+ years of experience in Data Science, Analytic function or related field.
• 5+ years insurance experience successfully leading teams.
• 7+ years formal leadership responsibilities for a functional team(s).
• Degree in Machine Learning, Data Science, Computer Science, Software Engineering or other similar analytical field.
• Demonstrated ability to build and grow technical teams and establish new operating rhythms.
• Strong understanding of the end-to-end insurance business and the customer contact points through sales, service and claim.
• Subject matter expertise in Machine Learning techniques, prompt engineering, RAG, agentic frameworks, model evaluation, guardrail management, MLOps and model lifecycle management.
• Strong understanding of responsible AI practices, model risk management, governance frameworks, regulations.
• Proficiency with cloud platforms, preferably AWS or GCP, and their AI/ML ecosystems.
• Strong strategic thinking and exceptional analytical capability along with business acumen to translate complex technical topics into business solutions.
• Exceptional verbal/written communication skills; Must be able to communicate effectively at all levels across the organization.
• Ability to work autonomously, with a strong attention to detail and balance multiple priorities.
• Experience executing change to core business processes through the innovative use of quantitative techniques.
• Strong negotiating, influencing, and conflict resolution skills at all organizational levels, builds effective relationships with internal partners.
• Innovative. Seeks new and creative ways to approach analytical exercises and development projects.
• Results-oriented. Demonstrates a sense of urgency and accountability for business issues.

Responsibilities

• Develop and oversee multiple teams to develop, test, and maintain robust Generative and Agentic AI solutions across claim and customer service operations.
• Collaborate with business leaders and partners to understand their short and long-term goals, and develop, align and execute on the AI strategy and multi-year roadmap to meet those goals.
• Develop deep partnerships and alignment with the portfolio and value stream frameworks.
• Promote agile and iterative development through cross-functional teams to provide appropriate solutions to meet the business problem.
• Hire, lead and develop a team of asset owners, data engineers, data scientists and machine learning engineers.
• Create an engaged and inclusive culture that draws and retains talent.
• Provide thought leadership through education, identification of AI opportunities and advance a data-driven culture that leverages data and AI whenever possible to enhance business efficiency and effectiveness.
• Partner with technology, data, AI platform, MLOps and Architecture teams to influence technology integration, data and platform strategy, tooling, standard work and reusable capabilities.
• Partner with peers and AI platform owners to champion the development and integration of reusable AI solutions within The Hartford’s AI platform to ensure governance, scalability and reuse.
• Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources.
• Stay up-to-date and serve as a community thought leader for the latest advancements in Machine Learning and AI techniques and products, MLOps, Cloud Engineering and emerging technologies.

Benefits

• The base pay is just one component of The Hartford’s total compensation package for employees.
• Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees