Director, Quality Engineering

Essential Job Duties • Enterprise Quality Leadership: Develop, implement, and lead the overall quality strategy and QA operating model across the organization.

• Standardize Testing Processes: Define and enforce consistent testing approaches including test planning, test cases, regression strategy, and release readiness criteria.

• Tooling Ownership: Select, implement, and manage enterprise testing tools for test management, automation, performance, accessibility, and security validation.

• Automation Strategy: Drive increased automated test coverage across UI, API, mobile, and services, reducing reliance on manual regression testing.

• Compliance, Accessibility & VPAT Reporting:

• Lead accessibility testing programs aligned to WCAG 2.1+

• Oversee creation and maintenance of Voluntary Product Accessibility Templates (VPATs) and Accessibility Conformance Reports

• Partner with Product, Legal, and Compliance to respond to customer accessibility requirements and audits

• Security & Compliance Testing Support: Coordinate with Security teams on SAST/DAST, vulnerability validation, and remediation tracking.

• Customer UAT Support:

• Define and support customer UAT strategies and environments

• Provide test plans, data guidance, and defect triage support during customer acceptance testing cycles

• Ensure feedback from UAT informs release decisions and product quality improvements

• Quality Metrics & Reporting: Establish KPIs to measure product quality, defect escape rate, automation coverage, UAT outcomes, and release readiness; communicate results to leadership.

• Shift-Left Quality Practices: Embed quality earlier in the development lifecycle through collaboration on requirements, acceptance criteria, and CI/CD integration.

• Incident & Defect Management: Oversee defect triage for high-priority production and pre-production issues and ensure timely resolution and root-cause prevention.

• Cross-Functional Collaboration: Work closely with Product Management, Engineering, DevOps, Security, and Compliance to ensure alignment of quality practices across releases.

• Organizational Leadership : Build, mentor, and lead a high-performing team of QA engineers, SDETs, automation engineers, and accessibility/compliance testers.

• Continuous Improvement: Identify quality gaps and drive process improvements that improve product reliability, reduce rework, and increase delivery confidence.

• Release Governance: Participate in release readiness reviews and serve as a key stakeholder in go/no-go decisions.

• Coding agent advocacy: Help onboard team members to AI development tools. Share techniques, prompt patterns, and review practices that make AI-augmented development effective and safe in a regulated environment.

Other Job Duties • Other duties as assigned by supervisor or HHAeXchange leader.

Travel Requirements • Travel up to 10%, including overnight travel

Required Education, Experience, Certifications and Skills • Bachelor’s degree in Computer Science, Engineering, or a related field required.

• 10+ years of experience in software engineering within a software product company, with a focus on developing scalable, high-performance systems.

• 4+ years leading QA organizations or enterprise quality programs.

• Proven experience designing and implementing standardized QA processes and test automation strategies in SaaS environments.

• Hands-on experience implementing automated testing frameworks integrated into CI/CD pipelines.

• Experience with accessibility testing and standards such as WCAG 2.1+ and authoring VPATs/ACRs.

• Experience supporting security testing practices such as vulnerability scanning, SAST/DAST, and penetration test remediation validation.

• Experience supporting or running customer UAT processes.

• Strong understanding of quality metrics (defect rates, coverage, MTTR, escape rate, etc.) and how to operationalize them.

• Background working in cloud-based architectures and microservices environments.

• Demonstrated success collaborating across engineering, product, and security teams in a fast-paced environment.

• Strong leadership skills with experience managing and developing QA and automation teams.

• Excellent verbal and written communication skills, including the ability to communicate complex topics to technical and non-technical partners.

• AI/ML fundamentals: Familiarity with LLM APIs, prompt engineering, and how generative AI can be applied in a product context. Direct project experience preferred.