Quality Assurance Lead – AI/Automation

Great American Insurance Group

. Serve as a subject matter expert for AI-enabled Quality Engineering, intelligent automation, and modern testing practices .

Posted 10/19/2026full-timeCincinnati • Ohio • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-enabled Quality Engineering and automation, with a strong focus on developing and implementing testing frameworks, standards, and best practices. Proven ability to lead initiatives that enhance quality outcomes and engineering productivity through innovative automation solutions.

Highest-signal resume keywords

AI-Enabled Quality EngineeringTest Automation Framework DevelopmentCloud-Based PlatformsAgile Environments with CI/CDMentoring Quality Engineering Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quality AssuranceTest AutomationAutomation FrameworksDefect AnalysisRisk-Based TestingAutomated Test GenerationSelf-Healing AutomationUI Test AutomationAPI Test AutomationIntegration Test Automation

Soft Skills

Strong CommunicationProblem-SolvingCollaboration

Tools & Technologies

PlaywrightSeleniumCypressCucumberJavaC#

Industry Keywords

Insurance ExperienceQuality EngineeringModern Testing PracticesDevOps PracticesCenter of Excellence

Tech Stack

Tools & technologies

CloudCypressJavaSDLCSelenium

About the role

Key responsibilities & impact

Serve as a subject matter expert for AI-enabled Quality Engineering, intelligent automation, and modern testing practices
Lead evaluation, adoption, and scaling of AI-assisted Quality Engineering transformation across the SDLC
Identify opportunities to use AI for test design, automation development, defect analysis, and quality insights
Define and promote AI-enabled automation standards, frameworks, best practices, and governance
Evaluate and implement automated test generation, self-healing automation, risk-based testing, defect prediction, and analysis
Partner with Quality Engineering leadership to mature enterprise Center of Excellence capabilities
Create reusable assets, playbooks, standards, templates, and implementation guides
Develop adoption strategies for AI and automation across multiple technology organizations
Measure effectiveness and value realization of enterprise quality initiatives
Establish and monitor KPIs related to automation adoption, AI utilization, engineering productivity, and quality outcomes
Mentor Quality Engineers on emerging technologies and modern testing practices
Develop training programs, workshops, technical guidance, and educational materials
Build organizational awareness of AI-enabled Quality Engineering capabilities
Act as a trusted advisor to engineering teams implementing AI and automation solutions

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent experience
10+ years of Quality Assurance experience supporting complex applications
7+ years of hands-on test automation experience using tools such as Playwright, Selenium, Cypress, Cucumber, Java, C#, or similar technologies
Proven success in evaluating and implementing AI-enabled quality engineering solutions
Experience developing and maintaining automation frameworks and testing solutions
Experience leading automation initiatives or mentoring Quality Engineering teams
Experience with cloud-based platforms and modern DevOps practices
Experience with UI, API, integration, and headless test automation
Experience working in Agile environments with CI/CD practices
Strong communication, problem-solving, and collaboration skills
Insurance experience preferred
Applicants must be authorized to work in the United States without the need for current or future sponsorship

Benefits

Comp & perks

Medical, dental, and vision coverage
Wellness plans
Parental leave
Adoption assistance
Tuition reimbursement
Paid Time Off
Paid holidays
401(k) plan with company match
Employee stock purchase plan
Commuter benefits
Hybrid work combining in-office and remote work