M&T Bank seeks a seasoned Product Analyst with deep Property & Casualty (P&C) insurance expertise to support a Generative AI initiative. This role focuses on complex integrations across front end, MuleSoft APIs, and backend systems to align with insurance product rules and regulatory requirements.

What You'll Do

Collaborate with business and technical teams to gather and analyze requirements for Generative AI features.
Translate business needs into user stories, technical specifications, and support end-to-end integrations.
Work closely with engineering teams on integrations using frontend technologies, MuleSoft, and backend services.
Ensure alignment with insurance product rules, workflows, and regulatory requirements.
Drive User Acceptance Testing (UAT) and support go-live readiness for new features.

What We're Looking For

8+ years of experience as a Product Analyst or Business Analyst, with a strong focus on Property & Casualty (P&C) insurance.
Proven expertise in insurance operations, including policy administration, claims, underwriting, and regulatory compliance.
Demonstrated experience driving complex integration projects involving front-end, middleware (e.g., MuleSoft), and backend systems.
Strong track record of collaborating with cross-functional teams including developers, architects, data scientists, and QA.
Experience working on AI/ML or Generative AI initiatives, particularly in regulated industries.
Solid understanding of API integrations, data contracts, and end-to-end data flows in enterprise systems.
Proficiency with Agile delivery frameworks, backlog grooming, user story creation, and sprint planning.
Strong skills in requirements gathering, process mapping, impact analysis, and stakeholder communication.
Hands-on experience using tools like JIRA, Confluence, Figma, or similar product collaboration platforms.

Nice to Have

Exposure to Generative AI tools and platforms, including LLMs and prompt engineering.
Familiarity with insurance core platforms (e.g., Guidewire, Duck Creek).
Experience integrating AI features into customer-facing portals or internal underwriting tools.
Understanding of data governance, security, and compliance specific to AI in the insurance sector.
Background in UI/UX collaboration and iterative prototyping.