Director, Quality Engineering and Automation… at ServiceLink · Plano

Overview

ServiceLink is seeking an experienced Director of Quality Engineering and Automation to lead our quality engineering transformation. This leader will be responsible for defining and executing the enterprise quality strategy, modernizing test automation capabilities, establishing quality governance standards, and driving engineering-wide quality improvements.

This role is not a traditional QA management position focused solely on test execution. The Director will serve as the organization’s quality engineering leader, responsible for building scalable automation capabilities, establishing meaningful quality metrics, and influencing software quality outcomes across Engineering, Product, and Release organizations.

The ideal candidate combines deep quality engineering expertise with strong organizational leadership, executive communication skills, and a proven ability to drive meaningful change in highly matrixed environments. Success in this role requires the ability to influence decisions through data, credibility, partnership, and quality leadership rather than direct organizational authority.

ServiceLink is modernizing the mortgage services industry through AI-accelerated engineering, intelligent automation, and next-generation software delivery practices. We empower the nation’s top lenders and financial institutions with advanced technology, data-driven insights, and high-velocity product development models.

As we continue to scale our technology platforms, we are investing in a modern Quality Engineering organization focused on automation, quality governance, engineering excellence, and continuous delivery. Our goal is to transform quality from a downstream testing activity into an engineering capability embedded throughout the software development lifecycle.

This is a hybrid role, and will be required to work in-office at our Plano, TX office at least 3 days per week. Candidates must be located within reasonable commuting distance of this office and be willing to work in-office on a regular basis.

Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future.

A DAY IN THE LIFE

In this role, you will…

· Lead quality engineering transformation

· Own enterprise test automation strategy

· Establish quality governance and risk management policies and procedures

· Drive engineering quality excellence

· Influence cross-functional release and product outcomes

· Establish quality metrics and executive reporting

· Lead and develop the Quality Engineering organization

Success Measures

· Automated coverage of critical business workflows.

· Reduction in manual regression testing effort.

· Improved release predictability and confidence.

· Reduction in escaped production defects.

· Increased adoption of shift-left quality practices.

· Expanded developer ownership of quality.

· Enhanced visibility into quality trends and release readiness risks.

· Increased executive confidence in quality governance and software delivery outcomes.

WHO YOU ARE

You possess …

· 10+ years of progressive experience in software quality, quality engineering, software engineering, or related technology leadership roles.

· 5+ 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.

· Demonstrated 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.

Responsibilities

1. Lead Quality Engineering Transformation

• Define and execute a multi-year quality engineering strategy aligned with ServiceLink’s technology and business objectives.

• Transform the organization from a predominantly manual testing model 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 where they provide measurable business value.

• Continuously improve testing effectiveness, release confidence, and overall software quality.

• Develop a strategic roadmap that reduces manual regression testing effort while improving coverage and reliability.

2. Own Enterprise Test Automation Strategy

• Define and execute automation strategies spanning unit, API, integration, end-to-end, performance, and regression testing.

• Build and maintain modern automation frameworks supporting multiple product portfolios and technology stacks.

• Identify opportunities to automate repetitive testing activities and reduce release-cycle effort.

• Establish automation standards, coding practices, and framework governance.

• Drive automation adoption across engineering teams and development pipelines.

• Ensure automation investments directly support business outcomes through measurable reductions in manual testing effort

             and improved release quality.

3. Establish Quality Governance and Risk Management

• Define enterprise quality standards, testing policies, and release readiness criteria.

• Develop risk-based testing frameworks that focus resources on the highest-value business scenarios.

• Provide objective assessments of release readiness and software quality risks.

• Establish processes for identifying, documenting, communicating, and escalating quality concerns.

• Lead post-release reviews and quality retrospectives to identify systemic improvement opportunities.

• Create clear mechanisms for risk visibility and executive decision support.

4. Drive Engineering Quality Excellence

• Partner with software engineering leaders to embed quality throughout the SDLC.

• Champion shift-left testing practices and developer ownership of quality.

• Promote increased use of automated testing within CI/CD pipelines.

• Drive adoption of engineering practices that improve code quality, testability, maintainability, and system reliability.

• Collaborate with architecture and development teams to improve overall product quality and reduce defect introduction

             rates.

• Influence engineering decisions through quality metrics, technical insights, and continuous improvement recommendations.

5. Influence Cross-Functional Release and Product Outcomes

• Build strong working relationships across Product Management, Release Management, Engineering, Operations, and

             Support organizations.

• Serve as a trusted advisor on quality, testing strategy, release readiness, and operational risk.

• Influence planning, prioritization, and release decisions through data-driven recommendations and quality insights.

• Ensure stakeholders understand the quality implications of scope changes, late-stage modifications, and release decisions.

• Foster organizational alignment around quality objectives and customer experience outcomes.

• Facilitate constructive discussions regarding risk, readiness, and delivery trade-offs.

6. Establish Quality Metrics and Executive Reporting

• Define and maintain enterprise quality KPIs and executive dashboards.

• Track and communicate trends related to:

o Escaped defects

o Automation coverage

o Regression testing effort

o Test effectiveness

o Production incidents

o Release quality

o Customer-impacting defects

• Use quantitative analysis to identify improvement opportunities and support investment decisions.

• Provide executive leadership with clear visibility into quality trends, risks, and organizational progress.

7. Lead and Develop the Quality Engineering Organization

• Build, mentor, and develop high-performing quality engineering teams.

• Create career paths for automation engineers, quality engineers, and quality leaders.

• Attract and retain top quality engineering talent.

• Foster a culture of accountability, innovation, continuous learning, and operational excellence.

• Ensure organizational structures support both immediate delivery needs and long-term quality transformation goals.

Qualifications

Required

· 10+ years of progressive experience in software quality, quality engineering, software engineering, or related technology leadership roles.

· 5+ 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.

· Demonstrated 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.

Preferred

· Experience leading quality engineering organizations undergoing significant automation transformation.

· Background in highly regulated industries such as financial services, mortgage, banking, insurance, healthcare, or fintech.

· Experience implementing quality engineering practices within 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.