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.
Requirements
- 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.
Responsibilities
- 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.
- Lead the development of Agentic AI and LLM-based solutions to optimize business processes and enhance decision-making transparency.
- 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.
- Oversee end-to-end AI projects from problem formulation to deployment and monitoring, ensuring alignment with business goals.
Other
- Lead 11 FTEs in the GenAI Data Science teams focused on Price to Risk and Customer Experience within Personal Insurance.
- Serve as a member of the Personal Insurance extended Data and Analytics leadership team and provide thought leadership across data science and business domains.
- Hire, train, and develop a high-performing team, including budget and resource management.
- Candidates must be eligible to work in the US without company sponsorship.
- 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.
