Manager of Quality Engineering

Manager of Quality Engineering

Our Manager of Quality Engineering is responsible for advancing the maturity, scalability, and effectiveness of the enterprise Quality Engineering (QE) function across cloud and on-prem platforms. This Manager is accountable for QE governance, test automation, performance engineering, and test data management. They define and execute a product‑centric, outcome‑driven quality strategy, establish best‑in‑class QE standards, tools, and practices, and execute enterprise‑wide strategies for automation, performance, and data quality.

The Manager implements transparent metrics, fosters accountability, and enables faster delivery with reduced risk across multiple product teams.

U.S. citizenship is required for this position due to Department of Defense restrictions.

$130,000 ~ $160,000. The base pay offered may vary within the posted range based on job‑related knowledge, skills, experience and may fall outside of this range.

We prefer the employee to reside in the state of Wisconsin to take advantage of hybrid work and collaboration. Employees within 45 miles of WPS Headquarters (1717 W. Broadway, Madison, WI, 53713) are expected to work in office three days a week on a regular basis. We do offer remote work in the following approved states:
Colorado, Florida, Georgia, Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Nebraska, New Jersey, North Carolina, Ohio, South Carolina, Texas, Virginia, Wisconsin.

• Define and execute the enterprise QE roadmap including governance, automation coverage, performance SLAs, test data strategy, and environment parity.
• Develop and maintain QE policies, standards, and guardrails integrated into CI/CD.
• Manage product budget and resource allocation to meet financial targets and maximize ROI.
• Evaluate, negotiate, and manage QE tooling and services, lead RFPs with Procurement and Legal.
• Lead the adoption of Artificial Intelligence in an enterprise‑wide Quality and Software Engineering program.
• Own test automation architecture (UI, API, service, data) and integrate with Azure Dev Ops/Git pipelines.
• Drive shift‑left quality and establish scalable frameworks with reliable reporting.
• Ensure compliance with healthcare regulations, data privacy, and security requirements in all product decisions.
• Include ongoing monitoring of application performance, validating that systems meet defined quality thresholds, SLAs, and reliability standards.
• Maintain audit‑ready compliance by enforcing consistent quality controls, documenting test evidence, and aligning QE processes with regulatory and security requirements.
• Lead and mentor a Quality Engineering team, fostering collaboration, accountability, and continuous improvement.
• Support career development, performance feedback, and drive capacity planning and management.

• U.S. citizenship.
• Bachelor’s degree in Computer Science, Information Technology, Systems Administration, Software Engineering or related field, or equivalent combination of education and work experience.
• Seven or more years of progressive experience in Quality Engineering / Software Development life cycles.
• Three or more years in a managerial or senior‑level role.
• Deep understanding of quality engineering disciplines, governance, and modern software development practices with the ability to integrate automated testing and quality controls into CI/CD pipelines.
• Proficiency in Agile/Scrum methodologies, backlog management tools (Jira, Azure Dev Ops), and iterative delivery practices including sprint cycles and PI planning.
• Expertise in agile product management, scaled agile frameworks, or hybrid delivery models.
• Strong leadership and stakeholder management skills with the ability to influence and drive change across diverse teams and complex organizations.
• Ability to design and evolve scalable automation frameworks, establish quality standards, and drive shift‑left testing strategies within agile product teams.
• Ensure QE processes align with regulatory, audit, and security requirements.
• Strong communication, analytical, problem‑solving, and decision‑making skills.