Product Group Manager – Integrated Services, Data, AI and Analytics
Ford Motor Company
AWSAzureCloudGoogle Cloud PlatformPythonSQL
AVP, Data Science – Personal Insurance, GenAI
The Hartford
full-time
Posted on:
Location: Arizona • 🇺🇸 United States
Visit company websiteSalary
💰 $182,400 - $273,600 per year
Job Level
Lead
Tech Stack
AWSCloudGoogle Cloud Platform
About the role
- 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 and champion integration within The Hartford’s AI platform
- 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 PI GenAI INVEST to the Transformation Office and Business Process Council
Requirements
- Bachelor’s Degree required (Master’s or Ph.D. preferred) in Data Science, Statistics, Applied Mathematics, Actuarial Science, Quantitative Economics, Computer Science or 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 (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 and understanding regulatory requirements
- Proficiency in responsible AI practices, model governance, and regulatory compliance
- Experience creating production environment data analytic solutions and applications
- Proven experience developing and deploying AI/ML solutions in multi-cloud environments (strong preference for Google Cloud Platform, particularly Vertex AI)
- Experience leading migration of AI/ML solutions across cloud platforms (especially transitioning workloads and models from AWS to GCP)
- 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
- Experience influencing senior business stakeholders and communicating data science outcomes with evidence of delivery aligned to strategic initiatives
- Candidates must be eligible to work in the US without company sponsorship
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