Risk Oversight Automation and Intelligence Lead

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.

The Risk Oversight Intelligence and Automation Lead provides independent technology risk oversight across Digital, Systems, and Cybersecurity Risk Oversight (DSCRO). This role combines analytical capability, automation expertise, and sound risk management judgment to identify emerging and aggregate risk signals across technology risk data, programs, systems, and processes. This is a technology risk oversight role, not a technology or data science production role. The core deliverable is an informed risk judgment: understanding what an analytical pattern means for risk, materiality, and risk reduction, and translating that judgment into clear oversight opinions and actions. Statistical models, automation, dashboards, and other analytical tools support that judgment; they are not the end product. The role will identify trends, correlations, control gaps, and emerging risks across technology risk oversight, cybersecurity risk oversight, records, tools, and automation. The individual will develop and enhance analytical and workflow capabilities that improve the consistency, efficiency, and visibility of the oversight function while maintaining appropriate independence and alignment with 2LoD standards. Success in this role requires risk management aptitude and strong communication skills alongside technical and analytical ability. The ideal candidate can move comfortably between executive-level discussions, detailed analytical work, and deep dives into technology solutions. They are curious, comfortable with ambiguity, willing to challenge existing processes, and able to translate complex findings into practical business and risk decisions.

Conduct independent technology risk oversight assessments across relevant DSCRO risk domains in accordance with 2LoD standards. Identify and evaluate emerging, aggregate, and thematic risk signals across technology risk data, programs, assessments, issues, audit requests, changes, and related oversight activities. Apply risk management judgment to determine the significance, materiality, and potential risk reduction associated with analytical findings. Translate statistical and pattern analysis into clear risk narratives, oversight opinions, escalation recommendations, and actionable risk reduction opportunities. Design and apply analytical methods to identify correlations, trends, anomalies, and emerging risk signals using tools such as Python, R, SQL, and business intelligence platforms. Develop and maintain automation, monitoring, reporting, and workflow solutions using tools such as Power BI, Power Apps, Power Automate, SharePoint, Python, and ServiceNow. Build intelligent processes that improve the tracking, aggregation, and visibility of technology changes, risk issues, audit requests, assessments, and remediation activity. Design dashboards and reporting tools that support risk aggregation, monitoring, executive decision-making, and independent assessment work. Evaluate proposed AI/ML-enabled tools and use cases for technology risk oversight, governance, control, and oversight implications. Lead or contribute to thematic analysis and other initiatives that support DSCRO oversight opinions. Partner with 1LoD technology and business teams, peer 2LoD functions, data teams, and other stakeholders to align on risk data, metrics, reporting standards, and business priorities. Identify gaps in existing processes,