Data Scientist designing and delivering analytical models for casualty catastrophe risks in Boston or Jersey City.
About the role
- Vice President leading Claims Data Science at The Hartford. Transforming the Claims customer journey with AI capabilities and overseeing data science initiatives.
Responsibilities
- 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
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JJ
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