Program Manager (Insurance & AI)

Capgemini; Hartford (CT); On-site; USD 150,000 - 190,000; Full time

Job summary

Capgemini is seeking an Insurance AI Solution Lead who combines deep insurance knowledge with a track record of shaping AI-enabled products and use cases. The role bridges business, domain, and technology, translating real insurance problems into well-defined AI solutions and guiding them from discovery to implementation.

Key responsibilities include leading AI use-case development across underwriting, claims, pricing, distribution, and servicing, translating problems into products, owning use

Qualifications

• 8-12+ years of overall experience in Insurance / Financial Services.
• Strong understanding of at least one major insurance domain (underwriting, claims, pricing, distribution, policy administration or portfolio management).
• Experience owning or shaping AI, analytics, data or digital products/use cases.
• Demonstrated ability to translate business requirements into solution capabilities and work with technical teams through delivery.
• Working knowledge of GenAI and modern AI solution patterns, without needing to be a hands-on developer.
• Strong client-facing communication, workshop facilitation and stakeholder-management skills.
• Ability to move comfortably between an insurance business conversation and a solution-design conversation.

Responsibilities

• Lead the identification and development of high-value AI use cases across the insurance value chain.
• Translate business problems into well-defined AI products/use cases with measurable outcomes.
• Own use cases from discovery through implementation.
• Collaborate with insurance SMEs, AI engineers, data scientists and architects to ensure solutions are grounded in business needs.

Skills

AI expertise

Insurance domain knowledge

Client-facing communication

Stakeholder management

Workshop facilitation

GenAI/AI patterns

Tools

Azure

AWS

Google Cloud

Databricks

Job description

We are looking for an Insurance AI Solution Lead who combines strong insurance business knowledge with experience shaping and owning AI-enabled products and use cases. The role will bridge business, domain and technology, translating real insurance problems into well-defined AI solutions and guiding them from discovery and prioritization through prototyping, validation and implementation.

Key responsibilities

Lead the identification and development of high-value AI use cases across the insurance value chain, including underwriting, claims, pricing, distribution and servicing.

Translate business problems into well-defined AI products/use cases, including user needs, workflows, capabilities and measurable outcomes.

Own use cases from discovery and prioritization through solution shaping, prototyping, validation and implementation.

Work closely with insurance SMEs, AI engineers, data scientists and architects to ensure solutions are grounded in business needs and technically feasible.

Provide domain and product direction to FDE teams, with a strong understanding of the end-to-end solution without requiring hands-on engineering expertise.

Lead client workshops, solution demonstrations and executive discussions, articulating the business value and practical application of AI.

Must Have

8-12+ years of overall experience, with meaningful experience in Insurance / Financial Services.

Strong understanding of at least one major insurance domain such as underwriting, claims, pricing, distribution, policy administration or portfolio management.

Experience owning or shaping AI, analytics, data or digital products/use cases.

Demonstrated ability to translate business requirements into solution capabilities and work with technical teams through delivery.

Working knowledge of GenAI and modern AI solution patterns, without needing to be a hands-on developer.

Strong client-facing communication, workshop facilitation and stakeholder-management skills.

Ability to move comfortably between an insurance business conversation and a solution-design conversation.

Preferred

Experience with Agentic AI, GenAI/RAG, decision-support solutions, intelligent workflows or AI-enabled workbenches.

Exposure to cloud/data/AI ecosystems such as Azure, AWS, Google Cloud or Databricks.

Experience working with multidisciplinary teams spanning domain, product, UX, data science, architecture and engineering.

Experience taking AI use cases beyond PoC into business validation or production adoption.

Insurance consulting, carrier, InsurTech, AI product or insurance technology experience.