IT Director, Quality Engineering & Process Engineering (Hybrid)

Signet Jewelers•Akron, OH

1d•Hybrid

About The Position

We’re seeking a visionary leader to drive enterprise-wide quality and performance engineering transformation via Generative AI and Automation. This role ensures scalable, reliable platforms and fosters a culture of engineering excellence. The QE & PE Director will drive improvements in quality, performance, productivity, and speed across all software and systems, ensuring best-in-class customer experiences and operational excellence. This position will lead a team of engineers, architects, & analysts, set strategic direction, and foster a culture of innovation and continuous improvement.

Requirements

10+ years of experience in QA and Performance Engineering, with at least 5 years in leadership roles.
Proven expertise in test automation frameworks, performance testing tools, and AI-driven QA solutions.
Proven experience implementing Gen AI and automation in testing environments
Strong understanding of eCommerce platforms, IT applications, and cloud environments.
Experience with CI/CD pipelines, microservices architecture, and observability tools.
Excellent leadership, communication, and stakeholder management skills.

Nice To Haves

Familiarity with tools like Selenium, JMeter, LoadRunner, Perfecto, and AI-based testing platforms.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Strong analytical, problem-solving, and decision-making skills.

Responsibilities

Define and execute a strategic QA and PE roadmap aligned with business objectives for eCommerce, store, and corporate IT systems.
Drive AI-enabled testing practices for predictive defect detection, intelligent test case generation, agentic testing, and root cause analysis.
Establish frameworks to reduce production defect leakage and improve release quality.
Scale test automation coverage across functional, integration, regression, and performance layers.
Implement shift-left testing and continuous quality practices within CI/CD pipelines.
Develop a comprehensive performance engineering approach, including load, stress, scalability, and resilience testing.
Integrate performance monitoring and predictive analytics for proactive issue resolution.
Define and track KPIs for quality, automation coverage, performance benchmarks, and production defect rates.
Build and mentor a high-performing QA/PE team, fostering innovation and continuous improvement.
Collaborate with engineering, product, and business stakeholders to ensure alignment and transparency.