Credit Risk Automation Manager

The Credit Risk Automation Manager will lead the evolution of U.S. Bank's credit risk processes and credit data systems, focusing on using AI, automation, and modern data engineering to simplify credit processes, improve reporting accuracy, and support faster decision-making across the credit lifecycle.

Requirements

• Proven experience in Automation (8+ Years), Transformation, Data Strategy, or Risk Management roles within a regulated environment
• Hands-on familiarity with modern data stack tools (e.g. Apache Spark, Snowflake, Python, SQL), analytics solutions (e.g., Tableau, Power BI, SAS), and AI technologies (machine learning, natural language processing, automation/agentic tools)
• Understanding of data management disciplines: data quality, lineage, governance, metadata, and reporting architecture
• Demonstrated experience identifying or implementing AI-enabled capabilities, such as automated document interpretation, workflow orchestration, or decision-support tools
• Understanding of AI governance concepts (e.g. explainability, monitoring, fairness) to ensure responsible deployment in Credit Risk
• Experience in cross-functional environments, working effectively with Technology, Data, Risk, and Business teams
• Strong self-directed problem-solving abilities, able to structure ambiguous problems and develop pragmatic transformation solutions
• Excellent written and verbal communication skills, capable of translating technical concepts for non-technical stakeholders
• Highly organised, self-motivated, and able to manage competing priorities and complex project demands

Benefits

• Market-competitive compensation package
• Performance-based incentives for eligible employees
• Inclusive equitable benefits
• Continuous development opportunities
• Employee recognition programs