Vice President, Claims Data Science – AI

Role Overview

• Develop and oversee a highly productive Data Science organization to develop, test, and maintain robust AI capabilities across the claim lifecycle, including routing work to the appropriate resources, expediting handling, and enhancing decision making.
• Collaborate with business leaders and partners to understand their short and long-term goals.
• Lead the development, alignment and execution on the AI strategy and multi-year roadmap to meet those goals.
• Identify modern AI and data capabilities to achieve business priorities and collaborate with technology, data and business partners to embed these capabilities within end-user technology and business processes.
• Manage the processes used to develop and enhance models, deeply embedded in the scaled agile framework of the Claims business unit.
• Serve as a member of Claim extended senior leadership team and provide thought leadership inside and outside the data science and analytics space.
• Hire, train and develop staff and effectively calibrate the approach to staffing, including budget management.
• Partner with technology, data, AI platform, AI/MLOps and Architecture teams to influence technology integration, data and platform strategy, tooling, standard work and reusable capabilities.
• Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources.
• Stay current on industry trends as well as state-of-the-art data, analytic, modeling and AI techniques.
• Applies quantitative skills to solve business issues and communicates results to appropriate business area.

Requirements

• Bachelors Degree (Master's or Ph.D a plus) in Statistics, Applied Mathematics, Actuarial Science, Quantitative Economics or other similar analytical field.
• 10+ years of relevant experience in Data Science or AI function in Insurance, Financial Services or related field.
• 8+ years directing a technical team, setting priorities and plans to meet business goals and objectives.
• Subject matter expertise required in Machine Learning, Generative AI, Agentic AI, and model lifecycle management.
• Proficiency in responsible AI practices, model risk management, governance frameworks, regulations.
• 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.
• Demonstrated track record of executing change to core business processes through the innovative use of quantitative techniques.
• Advanced negotiating, influencing, and conflict resolution skills at all organizational levels, builds effective relationships with internal partners.
• Innovative and seeks new and creative ways to approach analytical exercises and development projects.
• Results-oriented with a sense of urgency and accountability for business issues.

Benefits

• short-term or annual bonuses
• long-term incentives
• on-the-spot recognition