Verisk Analytics

Business Configuration Analyst - AI

Verisk Analytics • $88K — $105K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Data Science, or related field
  • 2-3 years of relevant experience in AI or software implementation
  • Experience configuring and implementing software solutions independently
  • Strong familiarity with cloud-based AI platforms like AWS Bedrock and Azure OpenAI
  • Advanced SQL skills and software troubleshooting experience
  • Strong analytical, problem-solving abilities with an aptitude for bridging technical and business terminology
  • Self-motivated with strong communication skills, focused on customer needs

Responsibilities

  • Configure FAST platform to integrate AI-driven insurance components such as policy administration and distribution management
  • Independently set up AI solutions on FAST and cloud platforms with minimal oversight
  • Design, test, and troubleshoot AI configurations, overseeing prompt engineering and performance optimization
  • Serve as a technical liaison for customers, gathering insights and feedback to refine configurations and recommend enhancements
  • Stay updated on AI platform advancements and assess new features for customer benefit
  • Monitor AI solution performance, analyze usage metrics, and identify optimization opportunities
  • Collaborate with product teams and stakeholders to ensure smooth AI implementation and agile process alignment

Benefits

  • Health Insurance
  • Retirement Plan
  • Disability benefits
  • Paid Time Off program
Full Job Description
Job 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

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Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.

https://www.verisk.com/company/careers/

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

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About Verisk Analytics

Verisk Analytics is a data analytics company that provides data, analytics, and decision-support services to professionals in insurance, energy, healthcare, financial services, government, and risk management. The company uses proprietary data sets and algorithms to provide predictive analytics and decision support solutions to its clients. Verisk Analytics was founded in 1971 and is headquartered in Jersey City, New Jersey.
Learn more about Verisk Analytics
Size
9,367 employees
Market Cap
$27.2 billion
Industry
Net Income
$712.7 million
Founded
1971
5 Year Trend
+8.5%
Revenue
$2.7 billion
NASDAQ

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