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The Hartford is hiring a VP, Middle & Large Business Data Science and AI to play a pivotal role in driving business process efficiency and embedding advanced analytics within the Middle and Large Business. This position also oversees the rapid scaling of Generative and Agentic AI capabilities across the Business Insurance Data Science & AI organization, ensuring the integration of cutting-edge AI solutions to optimize business processes and enhance decision-making.

This role will have a Hybrid work schedule, with the expectation of working in an office ( Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week. Candidates must be eligible to work in the US without company sponsorship.

As the head of the LOB practice supporting Middle and Large Business, the candidate will:

• Lead the development and execution of  a research agenda to drive business process efficiency through triaging, automation and AI tooling, drive risk selection and prospecting prioritization, and embed advanced analytics of all types in the Middle and Large customer and account life cycle. 

• Own and manage the processes used to develop and enhance our pricing and operational models, deeply embedded in the scaled agile framework of the Middle and Large business unit. 

• Serve as a member of Middle and Large Commercial 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

• Lead the identification of new data sources and embed modern AI and scientific tooling into Middle & Large processes by way of its end-user technology

• Collaborate with other research partners, especially those in the business insurance space to deliver componentized and reusable analytic assets

• Possess deep commercial lines business expertise to earn credibility with business partners, understand processes and intended outcomes, both those addressable through an AI lens and those addressable in other ways.

• Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources. Remain current on research techniques and state of the art tools.

• Oversee and develop a high level team to develop, test, validate, and maintain robust solutions for developing new products and services, customer segments, and competitive pricing strategies.

• Consults on innovative risk strategies using proprietary systems/data sources to achieve extensive business goals and objectives and maintain high quality data standards.

• Requires a solid understanding of product management/operations, current industry/regulatory environment, economic modeling, and management principles. Performs data mining and transforms raw data into actionable business information.

• Applies economic, quantitative, and statistical skills in the development of pricing, financial and claims models to drive profitable growth, fight fraud, and make sound business decisions.

• Applies quantitative skills to solve business issues and communicates results to appropriate business area

Additionally, this candidate will be accountable for rapidly scaling Generative and Agentic AI capabilities across the Business Insurance Data Science & AI organization, with responsibility to:

• Oversee the development of an incubation team to create centralized expertise in the most cutting edge AI tooling and capabilities within the Business Insurance team

• Develop a mechanism to accelerate the skilling of incumbent Business Insurance teammates through co-development of solutions serving business partners, dedicated training exercises, peer review and partnerships

• Prioritize and deploy capacity across the business insurance teams to accelerate use cases served efficiently by Generative and Agentic AI techniques

• Influence the development of Agentic AI standard work at the Hartford

• Oversee end-to-end AI projects from problem formulation to model deployment, integrated into a broader portfolio of advanced analytics.

• Lead the development of LLM models and data-driven solutions to optimize business processes, improve process transparency and drive data-driven decision making.

• Champion the integration of AI solutions within The Hartford’s AI platform to

• maximize reuse, scalability, and governance.

Required Experience:

• 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 Research Function in Insurance or Financial Services or related field

• Commercial Lines Insurance experience required

• 8+ years directing a team, setting priorities and plans to meet business goals and objectives

• Experience managing technical personnel in project based environment.

Skills & Competencies:

• Generative AI, Agentic AI and data modeling subject matter expertise

• Strong strategic thinking and exceptional analytical capability along with business acumen to translate complex technical topics into business solutions.

• Strong 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. Seeks new and creative ways to approach analytical exercises and development projects.

• Results-oriented. Demonstrates a sense of urgency and accountability for business issues.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. 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. The annualized base pay range for this role is:

Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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