Digital Software Engineering Senior Group Manager – Head of Quality & Performance Engineering

• Lead an AI-first testing strategy to transform quality engineering across applications and platforms
• Leverage AI to generate test cases, predict risks, accelerate defect detection, and enable synthetic data generation for comprehensive testing
• Implement AI-powered solutions & automation for functional, integration, smoke, and performance testing, as well as self-healing automation
• Enable developers to incorporate testing as part of the development lifecycle, including integration and smoke tests within the pipeline
• Maximize test coverage and reliability by leveraging AI tools and techniques
• Drive the adoption of autonomous, self-healing testing in the code and deployment pipeline to enhance speed, quality, and release confidence
• Synthetic test data management
• Oversee the end-to-end Software Development Lifecycle (SDLC), implementing best practices for agile development, continuous integration, and continuous delivery (CI/CD)
• Design, build, and manage a highly automated testing pipeline that enables rapid, high-quality releases
• Champion a "shift-left" approach to quality, embedding testing throughout the development lifecycle
• Establish and govern a comprehensive test management strategy that includes functional, non-functional and performance testing
• Implement and manage a robust framework for embedded testing, ensuring that quality is an integral part of the development process
• Drive the automation of all testing phases to ensure thorough validation and rapid feedback
• Define and monitor key performance indicators (KPIs) for software quality and performance
• Lead direct team of Quality engineers that create AI agents, automation and practices to enable agile squads to independently drive product build and quality assurance
• Ensure your personal code contributions and reviews of others' code are instructive and improve the overall quality and architecture of our codebase
• Lead and actively participate in design reviews, aligning teams across the organization towards coherent architectural strategies, bringing clarity to complexity, and probing assumptions
• Act as a pragmatic problem solver, applying judgment and experience to balance trade-offs between competing interests
• Stay abreast of industry trends and emerging technologies, particularly in the realm of AI and machine learning, and identify opportunities for their application
• Play a significant role in the career development of others, actively mentoring and educating the larger software engineering community on trends, technologies, and best practices
• Exercise full management responsibility for multiple teams, including management of people, budget, and planning
• Foster a culture of innovation, collaboration, and continuous improvement
• Handle performance evaluations, compensation, hiring, disciplinary actions, and terminations
• Actively recruit and participate in the hiring/interview process to build a world-class team
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets
• Drive compliance with applicable laws, rules, and regulations
• adhere to Policy
• apply sound ethical judgment
• and escalate, manage, and report control issues with transparency

• 15+ years of relevant experience, with significant time in a product line management, e-commerce, or strategic planning role
• Proven track record of managing the full SDLC for large-scale, complex software projects and succeeding in delivering high-quality technology products/services in a high-growth environment where priorities shift rapidly
• Extensive experience in designing and implementing CI/CD pipelines and automated testing frameworks
• First-class leadership, influencing, and talent management skills, with significant experience managing and developing a Software Engineering Team
• Ability to use hard data and metrics to back up assumptions and develop business cases
• Deep understanding of various testing methodologies, including performance, functional, and non-functional testing
• Strong knowledge of agile development methodologies (Scrum, Kanban) and modern software architecture patterns
• Familiarity with AI/ML concepts and their application in software development is highly desirable
• Excellent communication and negotiation skills, with experience negotiating internally at a senior level
• Bachelor’s/University degree required

Master’s degree