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
