AVP Data Science-Personal Insurance GenAI Data Science

AVP Data Science - GD05AE

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 seeking an Assistant Vice President (AVP), Data Science to lead the Generative AI (GenAI) Data Science teams within the Personal Insurance organization. This pivotal leadership role will be responsible for driving our Customer Centric strategy, with the two major focus areas being Price to Risk and Customer Experience. The AVP will oversee the development and execution of advanced analytics and AI capabilities that enhance pricing accuracy, feature development, operational efficiencies, and customer experience across the Personal Insurance lifecycle.

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our PI HUB office locations (Hartford, CT. San Antonio, TX. Scottsdale, AZ. Charlotte, NC. Tampa, FL. Columbus, OH.) will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Candidates must be eligible to work in the US without company sponsorship.

Key Responsibilities:

• Lead 11 FTEs in the GenAI Data Science teams focused on Price to Risk and Customer Experience within Personal Insurance.
• Develop and execute a research agenda to embed AI and automation into pricing, underwriting, and customer interaction processes.
• Manage the development and enhancement of pricing and operational models, integrated into the scaled agile framework of the Personal Insurance business unit.
• Serve as a member of the Personal Insurance extended Data and Analytics leadership team and provide thought leadership across data science and business domains.
• Lead the development of Agentic AI and LLM-based solutions to optimize business processes and enhance decision-making transparency.
• Hire, train, and develop a high-performing team, including budget and resource management.
• Identify and integrate new data sources and AI tools to improve business outcomes and customer satisfaction.
• Collaborate with technology, data, and business partners to embed AI capabilities into end-user technology and business processes.
• Drive the development of reusable analytic assets and scalable AI solutions.
• Champion the integration of AI solutions within The Hartford's AI platform to ensure governance, scalability, and reuse.
• Oversee end-to-end AI projects from problem formulation to deployment and monitoring, ensuring alignment with business goals.
• Provide evidence of delivery of the data science work supporting our PI GenAI INVEST to the Transformation Office and Business Process Council.

• Bachelor's Degree (Master's or Ph.D. preferred) in Data Science, Statistics, Applied Mathematics, Actuarial Science, Quantitative Economics, Computer Science or a related analytical field.
• 10+ years of relevant experience in Data Science or AI within Insurance or Financial Services.
• 8+ years of experience leading technical teams and managing complex analytic projects.
• 5+ years of experience developing and deploying data science solutions within Personal Insurance.
• Experience in Loss Modeling, Underwriting and Sales Modeling is preferred.
• Subject matter expertise in Generative AI, Agentic AI, and machine learning model development including Gradient Boosted Machines (GBMs), Computer Vision, Neural Networks and Generalized Linear Models (GLMs).
• Experience developing and deploying Class Plan Pricing models as well as regulatory requirements.
• Proficiency in responsible AI practices, model governance, and regulatory compliance.
• Experience in creating production environment data analytic solutions and applications.
• Proven experience developing and deploying AI/ML solutions in multi-cloud environments, with a strong preference for Google Cloud Platform (GCP), particularly Vertex AI.
• Experience leading migration of AI/ML solutions across cloud platforms, especially transitioning workloads and models from AWS to GCP, ensuring performance optimization and cost efficiency.
• Deep understanding of data pipelines, model lifecycle management, and CI/CD pipelines across GCP and AWS ecosystems.
• Ability to evaluate and integrate cloud-specific GenAI tooling into enterprise AI platforms, ensuring governance, scalability, and reuse.
• Experience influencing senior business stakeholders and communicating data science outcomes, including formal evidence of delivery aligned to strategic initiatives such as Hartford INVEST funding.

• Strong strategic thinking and analytical skills with the ability to translate multi-cloud architecture and tooling decisions into scalable business solutions.
• Excellent verbal and written communication skills, with the ability to influence cloud platform strategy and AI integration across all organizational levels.
• Demonstrated success in driving business transformation through cloud-native AI/ML development and cross-platform solution migration (e.g., AWS to GCP).
• Innovative mindset with a focus on leveraging emerging GenAI and Agentic AI capabilities across cloud ecosystems to accelerate value delivery.
• Strong collaboration and leadership skills to build effective relationships across cloud engineering, data science, and enterprise architecture teams.
• Results-oriented, demonstrating a sense of urgency and accountability for business issues and providing evidence of delivery.