RESPONSIBILITIES
- Partner with business and technical stakeholders to define objectives, requirements, and process improvement opportunities
- Translate complex business processes into clear user stories, functional requirements, workflows, and technical specifications
- Collaborate with development teams, solution providers, and integration partners to align business and technical requirements
- Support the design, testing, validation, and deployment of AI-powered and automation solutions
- Define AI use cases, business rules, workflows, and measures of solution effectiveness
- Review AI outputs and recommend improvements to prompts, workflows, and decision logic
- Document API requirements, integrations, data flows, authentication methods, and system dependencies
- Review JSON payloads and data structures to support application and system integrations
- Assist with integration troubleshooting, system testing, defect management, and user acceptance testing
- Partner with project managers, developers, and subject matter experts throughout the delivery lifecycle
- Participate in Agile ceremonies, backlog refinement, release planning, and production deployment activities
- Maintain project, requirements, and change management documentation
REQUIREMENTS
- 2+ years of professional experience within the Property & Casualty insurance industry
- Experience with CRM, workflow, or business process management platforms
- Strong business analysis experience, including requirements gathering, process mapping, user stories, and functional documentation
- Exposure to Generative AI, AI agents, intelligent automation, or similar emerging technologies
- Knowledge of P&C underwriting processes, rules engines, and policy lifecycle management
- Knowledge of Agile methodologies and software development lifecycle (SDLC)
- Understanding of REST APIs, web services, integrations, JSON, and API testing tools such as Postman or Swagger
- Understanding of large language models (LLMs), prompt engineering concepts, and AI use-case development
- Familiarity with responsible AI practices, data privacy, and governance principles
- Strong analytical, problem-solving, stakeholder management, and communication skills
- Ability to read and interpret basic code and data structures; Familiarity with Python, Java, or JavaScript is beneficial
- Ability to translate technical concepts for non-technical audiences and manage multiple priorities
Rate:
Not specified
Location:
Princeton
IR35 Status:
Outside
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Mid-Level