We are seeking a visionary and experienced Digital Software Engineering Senior Group Manager to lead our organization into the future. This is a senior leadership role responsible for shaping the strategy and execution of our software development lifecycle, with a strong emphasis on creating a world-class testing and deployment pipeline. The ideal candidate will be a transformative leader with a passion for innovation, a deep understanding of modern engineering practices, and the ability to inspire teams to deliver high-quality software at an accelerated pace.

In this role, you will be at the forefront of our digital transformation, leveraging Artificial Intelligence (AI) to optimize processes and build intelligent solutions. You will be responsible for managing the entire SDLC pipeline, from initial concept to deployment and beyond, ensuring that we can create and deploy new features and products in days, not months.

Key Responsibilities

• AI-Driven Quality 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

• SDLC and Pipeline 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.

• Technical Excellence & Mentorship:

• 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.

• Leadership and People Management:

• 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.

• Risk & Compliance:

• 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.

Qualifications Preferred Qualifications

• 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.

Education

• Bachelor’s/University degree required.

• Master’s degree preferred.

Job Family Group:

Technology

Job Family:

Digital Software Engineering:

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

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