Software Engineering Manager 3 (Agentic AI and Generative AI strategy)

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed.  We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Responsibilities Define and execute the Agentic AI and Generative AI strategy supporting Home Lending and Mortgage Operations. Partner with executives across Technology, Operations, Risk, Compliance, Architecture, and AI COE to prioritize and deliver high-value AI initiatives. Lead evaluation, design, and deployment of AI-powered solutions including intelligent automation, workflow orchestration, and decision-support capabilities. Drive AI proofs of concept through pilot and production implementation, ensuring measurable business impact. Champion engineering excellence, secure-by-design practices, architecture standards, and continuous improvement. Develop multi-year AI, automation, and platform modernization roadmaps aligned to business and technology priorities. Evaluate AI platforms, vendor solutions, and developer productivity tools to accelerate innovation and engineering effectiveness. Ensure compliance with enterprise security, privacy, model governance, audit, and responsible AI standards. Lead, coach, and develop engineering teams while providing executive-ready updates on roadmap progress, risks, investments, and outcomes. AI Strategy & Enablement Define and drive the strategic vision for Agentic AI, Generative AI, and intelligent automation across Home Lending technology platforms. Partner with senior leaders across Technology, Operations, Risk, Architecture, and AI Centers of Excellence to align AI initiatives with enterprise priorities. Lead adoption of emerging AI capabilities, driving measurable business outcomes, operational efficiency, and responsible AI governance. Serve as a trusted advisor to executive stakeholders on AI-enabled modernization and transformation opportunities. Engineering Modernization & Innovation Lead evaluation, proof-of-concept development, and implementation of emerging AI, automation, workflow, and cloud technologies. Drive adoption of AI-powered engineering productivity tools and modern software engineering practices. Champion engineering excellence through architectural standards, code quality, automation, and continuous improvement initiatives. Partner with product, architecture, security, and business teams to scale innovative solutions into enterprise production environments. Platform Strategy & Transformation Develop and execute multi-year engineering, automation, and modernization roadmaps aligned with enterprise and business objectives. Prioritize investments across AI, workflow automation, cloud modernization, and platform capabilities based on business value, risk, and strategic impact. Translate complex technical opportunities into clear business outcomes and value-driven investment cases. Evaluate technology partnerships and vendor solutions to ensure alignment with enterprise architecture, security, and compliance standards. Risk, Governance & Compliance Ensure adherence to enterprise security, privacy, audit, regulatory, and AI governance requirements. Embed secure-by-design and compliant engineering practices across all technology solutions. Partner with Risk and Compliance teams to mitigate operational, technology, and model-related risks. Leadership & Stakeholder Management Lead, coach, and develop high-performing engineering teams while fostering a culture of accountability, innovation, and continuous learning. Build strong partnerships across Consumer Lending, Technology, and Business organizations to drive