Business Configuration Analyst - AI

Summary

hackajob is collaborating with Verisk to connect them with exceptional professionals for this role. Description 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. Responsibilities 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. Qualifications 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

Job Description

hackajob is collaborating with Verisk to connect them with exceptional professionals for this role. Description 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. Responsibilities 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. Qualifications 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