Jobs at Verisk

Lead planning, coordination, and delivery of AI, FinOps, and CloudOps initiatives. Build roadmaps, business cases, ROI models, and executive materials; run intake/prioritization, vendor evaluations, cost-optimization actions, governance, OKR tracking, and risk/dependency management to drive cross-functional programs to decision-ready completion.

Customer-facing Product Manager for Verisk Property Claim Services who defines product vision and roadmap, engages customers and sales, translates market insight into product requirements, supports go-to-market and pricing, partners with technology and marketing, and tracks product performance to drive adoption and revenue growth. Some travel required.

Validate and test data reporting and analytics solutions (dashboards, reports, data products) using SQL and BI tools. Design and execute manual and automated tests, create test plans, maintain test documentation, log defects, and improve automation frameworks to ensure data integrity and meet business requirements.

Translate business needs into clear use cases, requirements, and user stories; facilitate requirements and process-improvement sessions; coordinate across departments; support product discovery and adoption; troubleshoot business issues; partner with Product Owners to align discovery with roadmap in an agile environment.

Lead the design and implementation of DevOps practices for a multi-tenant SaaS platform, ensuring teams can build, test, and deploy independently. Responsible for CI/CD pipeline creation, infrastructure automation, and mentoring engineering teams on best practices.

The Senior Software Engineer will design AI features, maintain data pipelines, develop scalable ML serving infrastructure on AWS, and lead cloud-native software solutions.

Lead the design and development of AWS cloud-hosted solutions, mentor teams, and establish architectural best practices for SaaS applications in the insurance sector.

Serve as the primary clinical expert supporting Data Science and Development: validate and monitor AI models, define client requirements, drive product enhancements, and translate clinical feedback into business requirements and user stories.

Lead product strategy and roadmap for catastrophe risk management software. Drive end-to-end product lifecycle from discovery through launch, perform market and customer research, engage directly with clients, prioritize features, collaborate with cross-functional teams, mentor PMs on agile practices, verify releases, and develop technical expertise in models, GIS, geocoding, APIs and related catastrophe risk capabilities while exploring AI-enabled enhancements.

Design and build scalable cloud-based analytic applications across the full stack: RESTful .NET services, responsive Angular frontends, AWS-hosted analytics, CI/CD and DevOps automation, performance optimization, and experimentation with AI tools.