Director, Quality Assurance & External Custom
- Compensation
- $153.6K–$232.8K / yr
- Location
- Arlington, VA, US
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 12+ years
- Category
- Qa
- Posted
Skills
Must have
- 12+ years in software quality / test engineering, including significant experience leading teams — and leading managers (manager-of-managers experience).
- A track record of transforming a team or quality organization — raising technical capability, modernizing practices, making and executing tough people and structural decisions.
- Deep, currently relevant technical depth.You can set technical direction a team will follow, not just manage process. Strong command of: REST/API testing and contract testing (e.g. Pact or equivalent)
- Experience testing cloud-native, microservices-based systems on a major cloud platform (Azure, AWS, or GCP). Familiarity with Azure environment (App Service, AKS, API Management, and related services)
- Familiarity with modern and AI-assisted test engineering — using AI to accelerate test design, debugging, and reporting.
- Demonstrated ability to own an external customer support function — incident and escalation management, SLAs, and partner/technical support.
- Excellent communication and stakeholder-management skills, including executive-level reporting.
Nice to have
- Experience extending test automation and validation into data analytics and BI pipelines (e.g. Synapse, Power BI, or comparable) — building component and end-to-end coverage for analytics solution cha
- Hands-on familiarity with UI automation tools such as Selenium, Playwright, or Cypress.
- Experience with NoSQL / document databases (e.g. Cosmos DB) alongside relational stores.
- Exposure to performance, security, or compliance testing as part of a holistic quality strategy.
- Background in regulated or complex data environments — fintech, healthcare, government, insurance, or large-scale data exchange.
- Experience supporting external integrating partners or third-party API consumers at scale.
- Relevant certifications (e.g. ISTQB Advanced, CSQE) a plus.
Full description
This is why you want to join AAMVA:
You'll lead an organization with a genuinely advanced, in-house engineering culture around testing, the runway to modernize it with AI, and the mandate to shape quality and customer support for systems that matter. If you're a technical quality leader who wants to build and transform — not just maintain — this is that role.
About the role
Lead a ~35-person organization spanning Quality Assurance and External Customer Support, through a team of quality assurance and support managers.
We are looking for a Director of Quality Assurance and External Customer Support to lead and elevate the quality of a portfolio of complex, integration-heavy data systems — and to own the technical support experience for the external partners who depend on them.
This is a leadership role for someone who pairs deep, current technical credibility with exceptional people leadership. Our platforms run on a cloud-native, microservices architecture on Azure, with REST interfaces across all internal and external integrations, and we invest heavily in AI-assisted test engineering. You will set the quality strategy for that future, build the team capable of delivering it, and ensure our external customers receive responsive, expert support backed by the people who know the systems best.
You will inherit a capable department with real strengths and meaningful room to advance its practices. A central part of this role is leading that organization through transformation — raising technical capability, developing the team and its leaders, and aligning everyone around modern, automation-first, AI-forward quality engineering over the next several years.
What you'll do
Quality strategy & transformation leadership
- Own the end-to-end quality strategy across all products and programs — functional, integration, performance, security, and data quality.
- Lead the organization through a multi-year modernization of its tools, practices, and skills toward automation-first, AI-assisted quality engineering.
- Set the technical direction the team will follow: testing approaches for microservices, REST/contract testing, distributed and asynchronous systems, and data validation.
- Define quality gates, release criteria, and governance that integrate cleanly with engineering and program delivery.
People & organizational leadership
- Lead through a management layer: coach, develop, and hold accountable the managers running QA and support functions; raise the bar on leadership across the org.
- Build, grow, and where needed restructure the team to match where the technology is headed — hiring, developing existing talent, and managing performance with fairness and clarity.