Director, AI Strategy & Technical Platforms

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.

Job Description

Role Summary

The Software Engineering Director is a senior engineering leader responsible for defining and executing the AI and modernization strategy for critical Operations platforms. This role combines strategic vision with hands-on engineering leadership to deliver secure, scalable, and automated solutions across Intelligent Document Processing (IDP), workflow and case management systems, operations applications, and contact center technologies.

This leader will drive AI-enabled capabilities, cloud adoption, and automation to improve operational efficiency and reduce friction, while ensuring compliance, platform stability, and strong alignment with enterprise governance and risk frameworks.

Key Responsibilities

AI Strategy & Enablement

• Define and champion the strategic direction for Agentic and Generative AI capabilities across Operations applications, IDP, workflow/case management, and contact center technologies.
• Partner with senior executives across Operations, Technology, Risk, Enterprise Architecture, and the AI Center of Excellence to shape a unified AI vision aligned to enterprise priorities.
• Influence senior-level investment decisions by articulating value cases, quantifying operational impact, and ensuring measurable transformation outcomes.
• Lead cross-functional teams in evaluating and adopting agentic AI patterns, including dynamic workflows, autonomous decisioning, and knowledge-driven orchestration.
• Represent Operations Technology in enterprise AI forums, advocating platform capabilities, workforce enablement, and responsible GenAI adoption.
• Serve as a senior advisor to executive stakeholders on agentic automation and modernization opportunities.

Engineering Execution & Modernization

• Lead modernization efforts across Operations platforms, including cloud migration, application rationalization, and platform upgrades.
• Implement engineering best practices including CI/CD pipelines, infrastructure as code, automated testing, and observability frameworks.
• Drive workflow automation and straight-through processing (STP) to reduce manual effort and operational friction.

Platform Ownership & Reliability

• Oversee day-to-day support and enhancement of Operations applications, including:
  • Intelligent Document Processing platforms (e.g., Tungsten, Azure Document Intelligence, OCR/ML tools)
  • Workflow and case management systems (e.g., Pega, Salesforce, ServiceNow)
  • Automation platforms (e.g., Automation Anywhere, MS Power Automate)
  • Contact center technologies (e.g., Amazon Connect, routing engines, agent desktop tools)
  • Operations-specific micro-applications (e.g., correspondence, imaging, exception handling)
• Ensure strong production support practices, including SLAs, runbooks, monitoring and incident prevention.

Risk & Compliance

• Ensure adherence to enterprise security, privacy, audit, and model governance standards.
• Embed secure-by-default practices across all engineering and AI-enabled solutions.

Leadership & Talent Development

• Lead, coach, and develop teams of engineers and analysts.
• Foster a culture of accountability, innovation, and continuous improvement.
• Model effective communication, in-office leadership expectations, and cross-team collaboration.

Stakeholder Engagement

• Provide clear, executive-ready roadmap, risk, and delivery updates.
• Influence investment decisions through quantified operational value cases.
• Build strong partnerships across Operations and Technology organizations.

Basic Qualifications

• Bachelor’s degree or equivalent work experience
• 10+ years of relevant software engineering experience
• 6+ years of experience leading multiple software engineering teams

Preferred Skills and Experience

• Experience in Banking, Finance, or other highly regulated environments
• Deep knowledge of information systems technology and software development practices
• Strong understanding of business operations and enterprise impact
• Proven ability to drive pr