Hybrid Product Ops & Rating Engine Lead

American Modern Insurance Group

Cincinnati (OH)

Hybrid

USD 140,000 - 190,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
401k plan
Paid time off (PTO)
Hybrid work environment
On-site facilities

Job summary

American Modern Insurance Group, Inc. seeks a strategic leader to oversee Earnix and Guidewire configurations, pricing, and product strategy. You will lead a team of analysts, manage workload, and ensure high-quality, efficient implementations in a hybrid workplace.

The role emphasizes collaboration with Product Management, strong communication, and expert problem-solving to deliver business-driven solutions across policy administration systems.

Qualifications

  • Bachelor’s degree in analytical or business field required.
  • Experience with Guidewire configuration and Python or similar languages.
  • Insurance knowledge required and beneficial.

Responsibilities

  • Provide leadership and oversight of Earnix/Guidewire configurations.
  • Lead team in pricing and product strategy with Earnix.
  • Ensure testing and governance for implementations.
  • Coordinate with Product Management for prioritization and delivery.
  • Develop and document best practices for system configuration.

Skills

Earnix Configuration
Guidewire
Rating Engine
Leadership
Strategic planning
Capacity management
Communication
Problem solving
Team development
Budget planning

Education

Bachelor’s Degree in Analytical or Business Field
Insurance knowledge
Guidewire configuration experience
Python experience

Tools

Earnix
Python
Guidewire UI tools

Job description

American Modern Insurance Group, Inc. seeks a strategic leader to oversee Earnix and Guidewire configurations, pricing, and product strategy. You will lead a team of analysts, manage workload, and ensure high-quality, efficient implementations in a hybrid workplace.

The role emphasizes collaboration with Product Management, strong communication, and expert problem-solving to deliver business-driven solutions across policy administration systems.

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