IT Quality Engineering Manager

WestfieldWestfield Center, OH
8dHybrid

About The Position

The IT Quality Engineering Manager is a key technology leader responsible for redefining how we build, test, and deliver software across asset teams. This role drives a major transformation—modernizing our testing ecosystem, embedding quality engineering into the development lifecycle, and building a strong SDET focused capability that blends software development discipline with advanced quality practices. The manager partners closely with peers across Application Engineering, Operations, Architecture, and DevSecOps to design a future state engineering model that enables high velocity, highly resilient, customer centric software delivery. This role reports to the Senior Manager for Quality Engineering and works collaboratively with peer QE Managers and Application Engineering Managers as part of the broader asset delivery team. In addition to technical leadership, the manager oversees budgeting, resource strategy, vendor partnerships, compliance, and talent development—ensuring the QE function is equipped to support a modern, AI accelerated software delivery environment.

Requirements

  • 7+ years of experience in Information Technology, Software Engineering, Quality Engineering, or related fields.
  • Proven leadership of QE, SDET, or software engineering teams in modern delivery environments.
  • Hands on experience with modern development tools, QE tooling, automation frameworks, CI/CD systems, cloud-based testing, and testability engineering.
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or related experience.

Responsibilities

  • Leads and matures quality engineering practices using modern agile, DevSecOps, and continuous testing methodologies.
  • Defines a future‑ready vision for how development and testing intersect, ensuring shared ownership of quality across SDETs, developers, and engineering teams.
  • Partners with Application Engineering Managers to embed testability, automation, and quality metrics into the software design and development lifecycle.
  • Builds and coaches a highly technical team of SDETs, QE Leads, and quality engineers focused on scalable and maintainable automation solutions.
  • Designs and executes enterprise‑aligned automation strategies emphasizing long‑term maintainability, shift‑left/shift‑right practices, and engineering‑driven quality.
  • Integrates AI‑driven testing capabilities such as autonomous test generation, self‑healing frameworks, and machine‑learning‑based insights to increase efficiency and coverage.
  • Collaborates with Product Owners, Engineering Managers, and QE Leads to optimize test coverage, ensuring critical workflows remain thoroughly validated.
  • Defines and monitors key quality KPIs, including defect leakage rate, automation ROI, coverage metrics, and pipeline stability.
  • Establishes a cohesive strategy for unit, integration, API, regression, and exploratory testing—co‑owned with development leaders.
  • Ensures regression strategies adapt to release scope, defect trends, and product risk profiles.
  • Partners with Application Engineering, DevSecOps, Operations, and Architecture leadership to build a unified, modern engineering model.
  • Drives quality‑in‑pipeline capabilities across CI/CD, Release‑on‑Demand, and cloud‑based delivery environments.
  • Leads cross‑team investigations of production issues, ensuring systemic quality improvements are built into future iterations.
  • Evaluates next‑generation quality tooling, cloud‑based testing platforms, and AI‑centric testing accelerators for adoption.
  • Manages vendor relationships, contract negotiations, and tool procurement for the quality engineering ecosystem.
  • Ensures compliance with enterprise security, data privacy, and regulatory requirements across all QE processes.
  • Builds a high‑performing, engineering‑centric QE organization through hiring, career development, succession planning, and ongoing coaching.
  • Fosters a culture of continuous learning, innovation, and experimentation, encouraging the adoption of emerging tools and modern engineering practices.
  • Removes organizational and technical obstacles to ensure the efficient delivery of high‑quality releases.
  • Manages budgets for QE tooling and staffing.
  • Identifies opportunities for cost optimization without compromising software quality or delivery efficiency.
  • Supports portfolio and project prioritization across IT and business stakeholders.
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