Verisk is seeking a technically proficient Business Configuration Analyst to support the implementation, optimization, and scaling of AI-powered solutions across our insurance platform. This is an opportunity to work at the intersection of cutting-edge AI technology and practical business application, directly enabling how insurers leverage artificial intelligence in their operations. As a Business Configuration Analyst, you will be hands-on with AI and platform configuration, working within FAST and cloud-based AI tools like AWS Bedrock, Azure OpenAI, and similar enterprise AI systems. You'll serve as both a technical implementer and a customer advocate, translating business needs into configured solutions while gathering insights that shape our AI product evolution. Bachelor's degree in Computer Science, Data Science, or related field 2-3 years of relevant experience Experience with AI technologies, machine learning, or advanced analytics platforms strongly preferred Experience configuring and implementing software solutions independently Experience with cloud-based AI platforms (AWS Bedrock, Azure OpenAI, or similar) strongly preferred Advanced SQL proficiency and experience with software troubleshooting Strong analytical and problem-solving skills with ability to explain technical concepts in business terms Self-motivated with excellent communication skills and customer focus Knowledge of agile methodologies (JIRA, Confluence) and insurance industry a plus #LI-MB1 #

LI-Hybrid FAST Platform Configuration:

Configure FAST's unique tool sets to implement AI-powered insurance components including policy administration, new business processing, and distribution management workflows. Leverage FAST's SOA component library to solve complex business problems with AI enhancements.

AI Solution Configuration :

Independently configure AI solutions within FAST and cloud-based AI platforms (AWS Bedrock or similar), requiring minimal supervision and demonstrating strong technical problem-solving skills.

Technical Implementation:

Design, test, and troubleshoot AI configurations including prompt engineering, model selection, integration parameters, and performance optimization. Develop and maintain configuration documentation and best practices.

Customer Engagement:

Serve as a technical point of contact for customers implementing AI features. Gather feedback, monitor usage patterns, and translate customer needs into configuration improvements and product recommendations.

Platform Expertise:

Stay current with AI platform capabilities, emerging tools, and industry best practices. Evaluate new features and configuration options that could benefit our customers.

Data Analysis & Optimization:

Monitor AI solution performance and customer engagement metrics. Analyze usage patterns, identify optimization opportunities, and recommend enhancements based on data-driven insights.

Cross-functional Collaboration:

Work closely with Product Owners, engineers, and customer teams to ensure alignment on AI implementations. Participate in agile ceremonies and contribute to product backlog refinement.