Gen AI Business Analyst

We are seeking experienced insurance data professionals to join our newly formed LLM Ground Truth Team, supporting the development and validation of Generative AI applications across Commercial P&C Insurance use cases. This team will be critical in designing and curating high-quality, production-like datasets—such as broker submissions—for training, validating, and continuously improving Large Language Models (LLMs) used in underwriting workflows. Key Responsibilities: • Collaborate with underwriters, product owners, and data scientists to understand model requirements and underwriting use cases. • Design and implement structured data collection and test data strategies for GenAI model training and validation. • Source, gather, and organize real-world data (e.g., broker submissions) to build representative and accurate datasets. • Conduct peer reviews of datasets and participate in multi-phase QA processes to ensure data quality, consistency, and relevance. • Monitor, maintain, and enhance dataset quality over time to reflect evolving business and model needs. • Validate GenAI outputs against ground truth datasets to establish model performance baselines and production accuracy. Qualifications: • 10–12 years of experience in the insurance industry, with deep expertise in Commercial P&C underwriting and data processes. • Extensive experience in data-centric roles including data analysis, modeling, or QA, preferably in AI/ML or GenAI environments. • Strong understanding of insurance data structures, policy lifecycle, and submission workflows. • Proven ability to create, manage, and quality-assure datasets for complex systems. • Excellent communication skills and experience working in cross-functional teams.