Manager Information Technology, Test Automation

Overview & Key Responsibilities

At Delta Air Lines, Quality Engineering is evolving from traditional testing into an intelligent, predictive, and highly automated capability that accelerates innovation across the enterprise. We are seeking a forward-thinking leader to transform and scale our Quality Engineering organization through AI-driven automation, modern engineering practices, and operational excellence.

Enterprise Quality Engineering Strategy

• Define and execute a multi-year Quality Engineering and intelligent automation strategy aligned with enterprise technology objectives.
• Drive the evolution from manual QA practices to scalable, AI-assisted quality engineering platforms.
• Establish governance, standards, KPIs, and maturity models for automation, test data, environments, and release quality.

AI-Driven Testing & Innovation

• Champion the adoption of AI-powered testing solutions, including test agents, self-healing automation, intelligent defect prediction, autonomous test generation, and AI-assisted root cause analysis.
• Leverage enterprise AI platforms and Amazon technologies, including Amazon Q and Kiro with MCPs, to improve engineering productivity and test efficiency.
• Evaluate emerging technologies and continuously modernize testing capabilities to maintain industry-leading practices.

Automation Architecture & Engineering Excellence

• Lead the design and implementation of scalable, reusable automation frameworks across UI, API, mobile, integration, and data layers using tools such as Selenium, Playwright, Cypress, Appium, JUnit, TestNG, and Cucumber.
• Ensure automation solutions are resilient, maintainable, secure, and optimized for enterprise-scale delivery.
• Drive shift-left quality practices, including service virtualization, contract testing, synthetic monitoring, and continuous testing.

DevSecOps & Continuous Quality

• Integrate automated testing seamlessly into CI/CD pipelines and cloud-native DevOps tooling.
• Enable rapid and reliable releases through continuous quality validation, automated regression, and risk-based testing strategies.
• Partner with cybersecurity and platform engineering teams to ensure compliance, resiliency, and secure development practices.

Leadership & Organizational Development

• Build, mentor, and inspire high-performing teams focused on innovation, accountability, and continuous improvement.
• Develop technical talent through coaching, career development, and modern engineering practices.
• Foster a culture that encourages experimentation, collaboration, learning, and operational excellence.

Data-Driven Quality Management

• Establish and track key engineering metrics, including automation effectiveness, defect escape rate, deployment confidence, release health, and ROI.
• Use analytics and AI-driven insights to identify bottlenecks, optimize workflows, and improve quality outcomes.
• Present strategic updates, roadmap progress, and operational insights to executive leadership and stakeholders.

Cross-Functional Collaboration

• Partner across business and technology organizations to align quality strategies with enterprise priorities.
• Influence architecture, engineering, and delivery decisions to ensure quality is embedded throughout the product lifecycle.
• Serve as a trusted advisor and change agent in advancing modern Quality Engineering practices.