Senior Product Analyst (MBA) (Insurance Platform) !!! Atlanta, GA or Jersey City, NJ (Hybrid 23 days onsite)

Position: Senior Product Analyst Generative AI (Insurance Platform)

Location: Atlanta, GA or Jersey City, NJ (Hybrid 2 3 days onsite)

Duration: Long Term (C2H) Contract

Experience: 7 10 Years

Education: MBA from a US-accredited university required

Role Overview

We are looking for a Senior Product Analyst to support the development and scaling of a Generative AI-powered insurance application. This platform leverages Large Language Models (LLMs), automation, and advanced analytics to improve underwriting, claims, servicing, and operational workflows.

This role sits at the intersection of Product, Data, Engineering, and Business stakeholders, ensuring AI-driven capabilities translate into scalable, secure, and business-aligned solutions that enhance operational efficiency and customer experience.

Key Responsibilities

Product & Business Analysis

• Partner with Product Managers to define AI-driven features and roadmap priorities.
• Translate business processes into structured product requirements and user stories.
• Develop PRDs and business cases for AI-driven capabilities.
• Conduct market research and competitive benchmarking for AI applications in insurance.

GenAI Use Case Development

• Identify high-value automation opportunities across underwriting, claims, policy servicing, or customer support.
• Define use cases involving document summarization, intelligent Q&A, data extraction, decision support, and workflow automation.
• Collaborate with Data Science and Engineering teams to define model evaluation criteria and functional requirements.
• Support prompt design strategies, guardrails, explainability, and responsible AI frameworks.

Cross-Functional Collaboration

• Work closely with Engineering, UX, Compliance, Risk, and Business teams.
• Facilitate workshops to gather requirements and validate AI solutions.
• Support release planning in Agile / Scrum environments.
• Present product insights and feature recommendations to leadership stakeholders.

Governance & Risk

• Ensure AI outputs align with compliance and regulatory expectations.
• Support model monitoring frameworks, audit readiness, and governance reviews.
• Define human-in-the-loop controls and risk mitigation strategies.

Required Qualifications

• 7 10 years of experience in Product Strategy, Business Analysis, or Product Operations.
• MBA from a US-accredited university.
• Experience in the Insurance domain (P&C, Life, or Specialty preferred).
• Strong structured problem-solving and requirement documentation skills.
• Experience working in Agile product environments.
• Foundational understanding of AI/ML concepts, particularly Generative AI and LLMs.

Preferred Qualifications

• Experience building AI copilots or automation platforms.
• Familiarity with insurance core systems and enterprise data ecosystems.
• Exposure to model governance and regulatory frameworks.
• Experience supporting enterprise digital transformation initiatives.

Best Regards,

Rakesh Sharma

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