Business Analyst (P&C Domain)

Title: Business/Product Analyst - Data/AI (P&C Insurance) Location: Atlanta, GA OR Jersey City, NJ (Hybrid) Experience: 6–12 Years Overview We are seeking an experienced Product Analyst with deep expertise in Property & Casualty (P&C) insurance to support a Generative AI initiative. This role will focus on complex integrations spanning front-end systems, MuleSoft APIs, databases, and backend services. The ideal candidate will bridge business and technology, ensuring AI-driven solutions align with core insurance operations and regulatory standards. Key Responsibilities • Collaborate with business and technical teams to gather and analyze requirements for Generative AI features. • Translate business needs into user stories, functional specifications, and data models. • Partner with engineering teams to support integrations across frontend, MuleSoft middleware, and backend systems. • Ensure compliance with insurance product rules, workflows, and regulatory requirements. • Drive user acceptance testing (UAT) and oversee go-live readiness activities. Must-Have Qualifications • 8+ years of experience as a Product Analyst or Business Analyst, with a strong focus on P&C insurance. • Solid knowledge of SQL, data warehouse concepts, data profiling, and data quality checks. • Proven expertise across insurance operations including policy administration, claims, underwriting, and compliance. • Experience in complex system integration projects (frontend, middleware, backend). • Strong background in collaborating with cross-functional teams (developers, architects, QA, data scientists). • Hands-on exposure to AI/ML or Generative AI projects in regulated industries. • In-depth understanding of API integrations, data contracts, and enterprise data flows. • Proficiency in Agile practices—backlog grooming, sprint planning, user story creation. • Skilled in requirements gathering, process mapping, impact analysis, and stakeholder communication. • Practical experience with JIRA, Confluence, Figma, or similar collaboration tools. Nice-to-Have Skills • Exposure to Generative AI platforms, including LLMs and prompt engineering. • Familiarity with insurance core platforms (Guidewire, Duck Creek). • Experience embedding AI features into customer portals or underwriting tools. • Knowledge of AI data governance, security, and compliance in insurance. • Background in UI/UX collaboration and iterative prototyping.