Cybersecurity Software Engineering Senior Manager - AI Capabilities

About this role:

Wells Fargo is seeking a Cybersecurity Software Engineering Senior Manager that would be responsible for the design, development, testing, documentation, and analysis of general modules or features of new or upgraded software systems and products.

In this role, you will:

• Manage, coach, and develop a team or teams of experienced engineers and engineering managers in roles with moderate complexity and risk, responsible for building high quality capabilities with modern technology
• Ensure adherence to the Banking Platform Architecture, and meeting non-functional requirements with each release
• Partner with, engage and influence architects and experienced engineers to incorporate Wells Fargo Technology technical strategies, while understanding next generation domain architecture and enable application migration paths to target architecture; for example cloud readiness, application modernization, data strategy
• Function as the technical representative for the product during cross-team collaborative efforts and planning
• Identify and recommend opportunities for driving escalated resolution of technology roadblocks including code, build and deployment while also managing overall software development cycle and security standards
• Determine appropriate strategy and actions to act as an escalation partner for scrum masters and the teams to meet moderate to high risk deliverables and help remove impediments, obstacles, and friction while encouraging constant learning, experimentation, and continual improvement
• Build engineering skills side-by-side in the codebase, conduct peer reviews to evaluate quality and solution alignment to technical direction, and guide design, as needed
• Interpret, develop and ensure security, stability, and scalability within functions of technology with moderate complexity, as well as identify, manage and mitigate technology and enterprise risk
• Collaborate with, partner with and influence Product Managers/Product Owners to drive user satisfaction, influence technology requirements and priorities in the product roadmap, promote innovative and intelligent solutions, generate corporate value and articulate technical strategy while being a solid advocate of agile and DevOps practices
• Interact directly with third party vendors and technology service providers
• Manage allocation of people and financial resources to ensure commitments are met and align with strategic objectives in technology engineering
• Hire, build and guide a culture of talent development to have the skills required to effectively design and deliver innovative solutions for product areas and products to meet business objectives and strategy, as well as conduct performance management for engineers and managers

Required Qualifications:

• 6+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years of management or leadership experience

Desired Qualifications:

• Technical Strategy and Architecture Leadership

• Define and govern the technical architecture for AI-driven cybersecurity capabilities, ensuring alignment with enterprise security strategy and AI engineering best practices.
• Drive long-term AI capability roadmaps and ensure reusable, scalable, and secure design patterns across Cyber AI services.

• Design Authority and Governance

• Serve as the final technical authority for AI-based cybersecurity solutions and infrastructure, approving architectural decisions and solution blueprints.
• Lead architecture review boards and design forums to ensure standardization, design consistency, and policy compliance across AI initiatives.

• AI and Cybersecurity Integration

• Champion the integration of advanced AI/ML models into security detection, prevention, and response workflows.
• Evaluate and guide model explainability, data quality, and ethical AI use in Cybersecurity operations.

• Innovation and Capability Development

• Lead the design of novel cybersecurity AI capabilities, such as autonomous threat hunting agents, adversarial learning defense models, and context-aware access control.
• Mentor engineers to drive innovation while maintaining architectural integrity and performance standards.

• Cross-Functional Leadership

• Collaborate with cloud architects, platform engineers, data scientists, and risk teams to embed cybersecurity AI securely into the enterprise ecosystem.
• Serve as a technical advisor to executive leadership on AI-driven security strategy, risks, and emerging threats.

• Engineering Excellence and Reusability