Business Analyst (AI & Insurance)

BUSINESS ANALYST (AI TEAM) 100% REMOTE WORKING INITIAL 6 MONTH CONTRACT CONTRACT RATES - FULLY NEGOTIABLE - PAYMENTS WILL BE MADE IN USD • • • USA East Coast Timezone working hours • • • • • • Candidates MUST have experience working within the insurance industry, alongside proven experience of working with GenAI • • • Company Overview: Our client is a leading provider of Commercial Property & Casualty insurance and select personal lines, including Homeowners and Auto insurance, in specific states. With a 200-year legacy, they are committed to delivering market-leading insurance solutions through expertise, integrity, and disciplined risk management. As a true underwriting company, they empower their teams to make informed decisions and drive innovation. Position Summary: The Business Analyst role bridges business stakeholders, data science, enterprise architecture, and compliance to translate business objectives into well-defined Gen AI use cases, requirements, processes, and measurable outcomes. This position is responsible for gathering, analyzing, and translating business requirements into actionable insights and technical specifications for the AI team. The ideal candidate will possess a strong understanding of P&C insurance operations and demonstrate the ability to collaborate across departments to optimize business processes and support data-driven decision-making. Key Responsibilities: Use case discovery and prioritization • Elicit and document business needs across underwriting, claims, operations, distribution, risk engineering, and finance for GenAI applications (e.g., document intelligence, triage, fraud detection, submission intake, pricing support, claims leakage detection, subrogation, generative AI knowledge retrieval). • Define problem statements, hypotheses, success criteria, and expected business value; develop business cases with cost/benefit, feasibility, risks, and dependencies. • Facilitate prioritization with product owners and stakeholders, balancing impact, complexity, and compliance considerations. Requirements and design • Produce clear business requirements, user stories, acceptance criteria, process maps (current/future state), data requirements, and non-functional requirements (performance, resiliency, privacy). • Develop functional specifications and product requirements documents in alignment with enterprise architecture and security standards. Delivery, testing, and release • Manage backlogs, epics, and user stories in Agile tools, support sprint planning, reviews, and retrospectives. • Define and execute test plans: functional testing, UAT, integration testing, A/B testing, and shadow/pilot validation; document results and signoffs. • Coordinate release readiness, cutover plans, and hyper care with product, engineering, and operations teams. AI governance, risk, and compliance • Document model cards, intended use, limitations, guardrails, and human oversight controls, support privacy impact assessments and security reviews. • Track and escalate model changes, incidents, and exceptions; maintain audit-ready documentation. Adoption, change management, and training • Develop adoption plans, training materials, and communications; conduct demonstrations and user training for underwriting and claims teams. • Define operating procedures and human-in-the-loop checkpoints; capture user feedback and drive iterative improvements. • Coordinate with business leaders to embed GenAI outputs into decision workflows and performance management. Qualifications: • Bachelor’s degree in Business Administration, Information Systems, Data Analytics, or a related field; advanced degree preferred. • Minimum of 3 years’ experience as a Business Analyst, preferably within the P&C insurance sector. • Demonstrated experience working with GenAI, data analytics, or technology-driven projects. • Very good knowledge of LLM capabilities and limitations • Experience implementing LLMs in agents or other automation • Experience rolling out GenAI across an organization • Strong understanding of insurance products, underwriting, claims, and risk management processes. • Excellent analytical, problem-solving, and organizational skills. • Proficient in business analysis tools, process mapping, and project management methodologies. • Effective communication skills, with the ability to convey complex concepts to technical and non-technical audiences. • Experience with data visualization and reporting tools is a plus.