Quality Engineering Leader – Accessibility & AI Automation

Key Responsibilities

Quality Engineering Leadership

• Define and execute enterprise-wide quality engineering strategy across multiple products and platforms.
• Establish scalable testing frameworks, governance models, and quality metrics that support rapid product delivery.
• Lead quality initiatives across the Product Development Lifecycle (PDLC), ensuring alignment with business objectives and regulatory requirements.
• Build and mentor high-performing teams across quality engineering, automation, and compliance functions.

Accessibility & Regulatory Compliance

• Own accessibility testing programs and compliance initiatives across digital products.
• Ensure adherence to WCAG 2.1 AA standards and accessibility reporting requirements.
• Lead creation, review, and maintenance of VPAT documentation.
• Partner with Legal, Compliance, Product, and Engineering teams to support ADA Title II and other applicable accessibility regulations.
• Provide executive-level reporting on accessibility readiness, compliance status, and remediation efforts.

Test Architecture & Automation Modernization

• Design and implement modern test architectures supporting scalable automation across the development lifecycle.
• Establish automated testing frameworks, CI/CD quality gates, and enterprise validation processes.
• Drive modernization of legacy testing infrastructure and introduce advanced quality engineering practices.
• Develop strategies to improve coverage, execution efficiency, release confidence, and defect prevention.

AI-Powered Quality Engineering

• Lead development and deployment of AI-driven testing solutions.
• Design multimodal AI test agents capable of automating validation across web, mobile, API, and emerging technology platforms.
• Establish autonomous and zero-touch testing workflows that increase productivity and reduce manual effort.
• Evaluate emerging AI technologies and define roadmaps for next-generation quality engineering capabilities.

Program Management & Operational Excellence

• Drive large-scale quality transformation programs across multiple business units.
• Own organization-wide quality improvement initiatives, remediation programs, and cross-functional fix-it campaigns.
• Manage testing roadmaps, risk assessments, milestone tracking, and executive communications.
• Ensure successful delivery of strategic quality objectives through effective planning and governance.

Capacity Planning & Data-Driven Operations

• Develop forecasting models to support resource planning and workload management.
• Create dynamic workback schedules and operational dashboards using quality, engineering, and delivery metrics.
• Utilize data-driven insights to optimize team utilization, productivity, automation adoption, and release readiness.
• Track execution health through key performance indicators and operational scorecards.

Financial & Vendor Management

• Manage large-scale testing programs and associated budgets.
• Oversee external partners, managed service providers, and vendor-delivered testing services.
• Monitor portfolio financial performance, vendor execution metrics, and quarterly resource ramp planning.
• Drive cost optimization initiatives while maintaining quality, compliance, and delivery standards.
• Ensure effective governance of operational expenditures and quality investments.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline.
• Extensive experience leading Quality Engineering, Quality Assurance, or Test Engineering organizations within large-scale technology environments.
• Demonstrated expertise with enterprise test automation frameworks, software quality processes, and modern SDLC/PDLC methodologies.
• Strong knowledge of accessibility standards, including WCAG 2.1 AA, VPAT documentation, and ADA-related compliance requirements.
• Experience designing and implementing scalable quality engineering platforms and automation ecosystems.
• Proven track record driving enterprise-wide testing transformation and modernization initiatives.
• Experience building AI-assisted or AI-driven testing solutions and automated validation systems.
• Strong analytical, communication, stakeholder management, and executive presentation skills.
• Experience managing large quality engineering budgets, vendor relationships, and operational governance programs.

Preferred Qualifications

• Experience leading accessibility compliance programs for large consumer or enterprise technology platforms.
• Expertise in CI/CD, DevOps quality engineering practices, and cloud-based testing platforms.
• Familiarity with machine learning, AI agent frameworks, and multimodal testing technologies.
• Experience managing geographically distributed teams and large vendor ecosystems.
• Demonstrated success leading organization-wide quality transformation initiatives.
• Strong background in operational planning, financial management, and strategic roadmap execution.