Job Title: Business Analyst with Intelligent Automation Experience
Location: Phoenix, AZ, Providence, RI, Iselin, NJ or Edison, NJ (Onsite)-Only locals
Duration: Long Term Contract
Job Description:
We are building the next generation of our claims management platform, transforming how claims are supported through intelligent automation. This role brings deep industry knowledge and hands-on operational expertise to shape what we build, grounded in both real-world experience and industry best practices. The role leads the translation of claims and fraud operations into intelligent and agentic automation capabilities.
It ensures our automation and agentic capabilities reflect how claims are actually worked, not just how they are designed.
Key Skills and Competencies
- Deep, hands-on expertise in claims operations, spanning intake, investigation, and resolution, with strong awareness of industry (Banking Domain) best practices.
- Collaborative leadership, with demonstrated ability to work effectively across business and technology groups.
- Excellent communication skills, with the ability to represent the voice of real-world claims operations while influencing scalable and effective ways of working through new capabilities such as agentic solutions.
Key Responsibilities
- Translate Operations and Best Practices into Product Capabilities:
- Define how claims workflows, decisions, and edge cases translate into scalable product capabilities, automation, and agentic solutions.
- Shape High-Impact Use Cases:
- Drive collaboration across Fraud and Claims Operations, Evergreen (GenAI agentic) team, and Cypress platform teams to define and refine use cases spanning intake, investigation, evidence gathering, decision support, and resolution.
- Validate Target-State Workflows:
- Shape end-to-end workflows that enable agentic solutions, ensuring alignment with real-world execution while improving efficiency, consistency, usability, and automation outcomes.
- Drive Measurable Outcomes:
Help define and track success metrics such as cycle time reduction, improved investigator productivity, and reduction in manual handling.
Thanks & Regards,
Vignesh
vignesh@themesoft.com
