Sr. Manager of Engineering Delivery

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 #J-18808-Ljbffr