Automation Lead

Great American Insurance Company•Cincinnati, OH

1d•Hybrid

About The Position

Great American Insurance Group is seeking an AI/Automation Lead Quality Engineer to lead the adoption, advancement, and governance of AI-enabled Quality Engineering throughout the Software Development Lifecycle (SDLC). The position provides technical leadership to help delivery teams modernize testing practices through automation, artificial intelligence, and emerging quality technologies. It develops enterprise capabilities, reusable solutions, standards, and best practices for use across teams and technology platforms. The role partners with Quality Engineering leadership to mature enterprise Center of Excellence capabilities, supports adoption of AI and automation across technology organizations, and measures the effectiveness and value of quality initiatives. It also mentors and advises Quality Engineers and engineering teams, develops learning resources, and fosters innovation, experimentation, technical excellence, and continuous learning. This is a hybrid role combining in-office and remote work. Employees are expected to maintain a meaningful on-site presence. The position is not eligible for employment visa sponsorship; applicants must be authorized to work in the United States without current or future sponsorship.

Requirements

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 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.
Must be authorized to work in the United States without current or future employment visa sponsorship.

Responsibilities

Serve as a subject matter expert for AI-enabled Quality Engineering, intelligent automation, and modern testing practices.
Lead the evaluation, adoption, and scaling of AI-assisted Quality Engineering transformation through continuous testing, automation modernization, and AI-enabled testing across the SDLC.
Identify opportunities to use AI to accelerate test design, automation development, defect analysis, and quality insights.
Define and promote AI-enabled automation standards, frameworks, best practices, and governance, taking emerging technologies and industry trends into account.
Evaluate and implement AI-assisted testing capabilities, including automated test generation, self-healing automation, risk-based testing, and 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 the 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 and understanding of AI-enabled Quality Engineering capabilities.
Foster a culture of innovation, experimentation, technical excellence, and continuous learning.
Advise engineering teams implementing AI and automation solutions.