Director, Quality Engineering and Automation -Information technology
About The Position
ServiceLink is seeking a Director of Quality Engineering and Automation to lead its enterprise quality engineering transformation. The role defines and executes quality strategy, modernizes test automation capabilities, establishes governance standards, and improves quality across Engineering, Product, and Release organizations. It is an organization-wide quality leadership role—not a traditional QA management position focused solely on test execution—and requires influencing outcomes through data, credibility, and partnership in a highly matrixed environment. The Director will move the organization from predominantly manual testing toward automation-first quality engineering, embedding quality throughout the software development lifecycle. Responsibilities include setting enterprise automation strategy and governance, developing risk-based testing and release-readiness practices, defining quality metrics and executive reporting, and building and developing the Quality Engineering organization. The role partners across engineering, product, release management, operations, and support to improve delivery confidence, reduce escaped defects and manual regression effort, and strengthen developer ownership of quality. ServiceLink is modernizing the mortgage services industry through AI-accelerated engineering, intelligent automation, and next-generation software delivery practices. This hybrid role requires working in the Plano, Texas office at least three days per week. Candidates must live within reasonable commuting distance and be willing to work in the office regularly. Applicants must be authorized to work full-time in the United States without requiring employment visa sponsorship now or in the future.
Requirements
- 10 or more years of progressive experience in software quality, quality engineering, software engineering, or related technology leadership roles.
- 5 or more years of experience leading quality engineering organizations in complex enterprise software environments.
- Demonstrated success leading large-scale test automation and quality transformation initiatives.
- Experience building and scaling automation frameworks and engineering quality practices.
- Strong understanding of modern SDLC practices, CI/CD pipelines, DevOps, and cloud-native application architectures.
- Experience implementing API, integration, end-to-end, performance, and regression testing strategies.
- Ability to influence executive stakeholders and lead cross-functional initiatives without direct authority.
- Experience establishing quality metrics, executive scorecards, and data-driven governance models.
- Strong understanding of risk management, release readiness, and quality governance practices.
- Experience managing distributed teams and complex organizational change efforts.
- Excellent written and verbal communication skills, with the ability to engage technical and business audiences.
- Experience leveraging AI-assisted engineering and testing tools such as GitHub Copilot, Claude Code, or similar technologies.
- Must be located within reasonable commuting distance of the Plano, Texas office and willing to work in-office at least three days per week.
- Must be authorized to work in the United States full-time without requiring employment visa sponsorship now or in the future.
Nice To Haves
- Experience leading quality engineering organizations through significant automation transformation.
- Background in a highly regulated industry such as financial services, mortgage, banking, insurance, healthcare, or fintech.
- Experience implementing quality engineering practices in Agile and product-oriented delivery models.
- Knowledge of modern test automation platforms, quality engineering frameworks, and observability tools.
- Experience supporting large-scale digital transformation initiatives.
Responsibilities
- Define and execute a multi-year quality engineering strategy aligned with ServiceLink’s technology and business objectives.
- Transform the organization from predominantly manual testing to an automation-first quality engineering approach.
- Establish scalable operating models, standards, and best practices across quality engineering functions.
- Evaluate and implement AI-assisted testing capabilities when they provide measurable business value.
- Develop a roadmap to reduce manual regression testing while improving coverage and reliability.
- Define automation strategies for unit, API, integration, end-to-end, performance, and regression testing.
- Build and maintain modern automation frameworks across multiple product portfolios and technology stacks.
- Establish automation standards, coding practices, and framework governance, and drive adoption across engineering teams and development pipelines.
- Define enterprise quality standards, testing policies, release-readiness criteria, and risk-based testing frameworks.
- Assess release readiness and software quality risks; establish processes to identify, document, communicate, and escalate quality concerns.
- Lead post-release reviews and quality retrospectives to identify systemic improvement opportunities.
- Partner with software engineering leaders to embed quality throughout the SDLC, champion shift-left testing, and promote developer ownership of quality.
- Promote automated testing in CI/CD pipelines and engineering practices that improve code quality, testability, maintainability, and system reliability.
- Build relationships across Product Management, Release Management, Engineering, Operations, and Support, and advise on quality, testing strategy, release readiness, and operational risk.
- Influence planning, prioritization, and release decisions with data-driven recommendations and communicate the quality implications of scope changes and release decisions.
- Define and maintain enterprise quality KPIs and executive dashboards covering escaped defects, automation coverage, regression effort, test effectiveness, production incidents, release quality, and customer-impacting defects.
- Use quantitative analysis to identify improvement opportunities, support investment decisions, and report quality trends, risks, and progress to executive leadership.
- Build, mentor, and develop quality engineering teams; create career paths; attract and retain talent; and foster accountability, innovation, continuous learning, and operational excellence.
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
No Education Listed
