We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM.
About the Role
We're seeking an experienced Quality Assurance Manager 1 to lead quality assurance initiatives, testing strategy, automation and AI enablement, and team development across technology projects. This role will partner closely with development, product, and business teams to ensure the delivery of high-quality software solutions while driving continuous improvement, shift-left quality practices, responsible AI adoption, test automation, and quality excellence.
As a people leader, you'll mentor QA professionals, establish testing best practices, and help shape the future of quality engineering within the organization.
What You'll Do
Lead software quality assurance activities across multiple projects and applications.
Develop and execute test strategies, test plans, and automation plans.
Oversee functional, regression, integration, performance, and user acceptance testing.
Manage defect identification, tracking, root cause analysis, and resolution.
Establish quality standards, metrics, and reporting to drive continuous improvement.
Conduct quality reviews and assessments to ensure compliance with organizational standards.
Mentor and develop QA Associates and Senior QA Associates.
Collaborate with cross-functional teams to improve software quality and delivery outcomes.
Drive adoption of scalable test automation, continuous testing, and quality engineering practices across delivery teams.
Drive adoption of AI-assisted quality engineering practices to improve test design, automation development, test data creation, defect analysis, and team productivity.
Evaluate AI use cases and tools for quality engineering while promoting responsible use, appropriate governance, data protection, and human oversight.
Coach QA professionals on effective prompt development and the practical use of generative AI within testing and automation workflows.
Provide technical direction for automation frameworks and ensure automated tests are maintainable, reliable, and integrated into delivery pipelines.
Champion risk-based testing, early quality engagement, and measurable quality outcomes throughout the software development lifecycle.
Key Skills
Quality Assurance & Quality Engineering
Test Strategy & Test Planning
Manual & Automated Testing
Functional, Regression, Integration & Performance Testing
Defect Management & Root Cause Analysis
Test Automation Frameworks
AI-Assisted Testing & Quality Engineering
Generative AI tools, prompt development, and AI-enabled engineering productivity
AI-supported test design, test data generation, automation development, and defect analysis
Responsible AI practices, governance, data protection, and human oversight
Working knowledge of Playwright and Selenium for web application test automation
API testing and automation using tools and standards such as Postman, REST, and OpenAPI/Swagger
CI/CD integration and automated quality gates using Azure DevOps or comparable platforms
SQL and data validation for back-end and integration testing
Automation framework design, maintainability, reporting, and test reliability
Agile & Scrum Methodologies
SDLC & Software Testing Best Practices
Quality Metrics & Reporting
Quality Reviews & Process Improvement
Team Leadership & Coaching
Stakeholder Management
Qualifications
Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
Experience supporting Workday implementations or major Workday enhancement programs, including…