Sr. Manager of SQA - ERP

• Posted 2 hours ago • Updated 2 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Business Systems
  • Manual Testing
  • Management
  • Regression Analysis
  • Test Cases
  • Gap Analysis
  • Risk-based Testing
  • Requirements Engineering
  • User Stories
  • Documentation
  • Clarity
  • Testing
  • Workflow
  • Apache Velocity
  • Leadership
  • Continuous Improvement
  • Innovation
  • Change Management
  • Computer Science
  • Software Development
  • Software Engineering
  • Quality Assurance
  • Business Analysis
  • Artificial Intelligence
  • Automated Testing
  • Software Development Methodology
  • Stakeholder Management
  • Communication
  • Enterprise Resource Planning
  • Microsoft Dynamics
  • Agile

Summary

The Senior Manager, Engineering Delivery is responsible for leading multiple cross-functional teams-including Quality Engineers, Business Systems Analysts and others-to deliver high-quality technology solutions aligned to business priorities. This role owns both delivery outcomes and the evolution of how delivery is executed, driving a shift toward AI-enabled, automation-first quality engineering and requirements practices.

This leader will champion modern delivery capabilities, embedding AI into quality engineering and requirements practices, and fostering a culture where automation, precision, and continuous improvement are the standard.
Key Responsibilities

Delivery Leadership
  • Lead and develop multiple teams of Quality Engineers, Business Systems Analysts and others to deliver against prioritized business initiatives
  • Ensure consistent, predictable delivery of high-quality software aligned to business outcomes
  • Partner with Engineering, Product, and Business stakeholders to plan, execute, and continuously improve delivery
  • Drive momentum across large, complex programs with high ambiguity.
  • Champion an exciting transformation to keep team engaged, productive and positive.

Quality Engineering & Automation
  • Own and evolve the quality engineering strategy, driving a shift from manual testing to automation-first and AI-enabled testing practices
  • Oversee and enhance the existing automated regression suite, improving coverage, reliability, and efficiency
  • Implement AI-driven approaches for test case generation, gap analysis, and risk-based testing
  • Establish quality metrics, standards, and practices that improve release confidence and reduce defects

Business Systems Analysis Excellence
  • Lead the transformation of business analysis practices toward AI-enabled requirements engineering
  • Enable teams to leverage AI tools to produce high-quality user stories, acceptance criteria, and functional documentation
  • Standardize best practices for requirements clarity, completeness, and alignment with business intent
  • Improve the overall quality and efficiency of backlog creation and refinement

AI-Enabled Delivery Practices
  • Drive adoption of AI tools and capabilities across delivery teams, moving from ad hoc usage to scalable, standardized practices
  • Identify opportunities to embed AI across the SDLC, including requirements, testing, and delivery workflows
  • Partner with engineering and platform teams to align on tools, governance, and best practices
  • Measure and track the impact of AI adoption on velocity, quality, and efficiency

People Leadership & Culture
  • Build, coach, and develop high-performing teams across Quality Engineering and Business Systems Analysis
  • Foster a culture of ownership, continuous improvement, and innovation
  • Lead change management efforts to embed new tools, practices, and ways of working
  • Promote an automation-first and AI-first mindset across teams

Qualifications
  • Bachelor's degree in Computer Science, Engineering, or related field
  • 8+ years in software development, QA, or related disciplines
  • 4+ years leading multiple teams across functions (QA, BSA, Engineering)
  • Proven experience leading cross-functional delivery teams in a software engineering environment
  • Strong background in quality engineering, test automation, and/or business systems analysis
  • Demonstrated experience driving automation and/or AI-enabled transformation within delivery organizations
  • Familiarity with modern AI tools (e.g., Copilot, ChatGPT, test automation frameworks) and their application across the SDLC
  • Strong stakeholder management and communication skills
  • Ability to lead through change and influence adoption of new practices at scale

Preferred Qualifications
  • Experience in ERP platforms (e.g., Microsoft Dynamics) or enterprise systems
  • Background in agile at scale environments
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922487
  • Position Id: 24260304
  • Posted 2 hours ago
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