Risk Oversight Automation Lead

• Conduct independent technology risk oversight assessments across relevant DSCRO risk domains in accordance with 2
  
  LoD 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
• Develop and maintain automation, monitoring, reporting, and workflow solutions
• Build intelligent processes that improve tracking, aggregation, and visibility of technology changes, risk issues, audit requests, assessments, and remediation activity
• Design dashboards and reporting tools supporting 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 initiatives supporting DSCRO oversight opinions
• Partner with 1
  
  LoD technology and business teams, peer 2
  
  LoD functions, data teams, and other stakeholders
• Identify gaps in processes, data, controls, and technology solutions and recommend practical improvements
• Manage multiple high-impact initiatives while balancing near-term delivery with longer-term capability maturity
• Build stakeholder relationships, influence outcomes, and communicate with technical and non-technical audiences
• Mentor and develop team members and establish continuity and backup plans for critical processes

• Bachelor's degree, or equivalent work experience
• Typically more than six years of applicable experience
• Experience analyzing complex data, identifying meaningful patterns, and communicating conclusions to decision-makers
• Experience in technology risk management, IT governance, audit, compliance, or another independent oversight function, particularly within a regulated financial institution
• Ability to build or apply statistical and pattern-detection methods, such as regression, correlation analysis, trend analysis, or anomaly detection, using Python, R, SQL, or similar tools
• Experience translating analytical or quantitative output into materiality assessments, risk narratives, oversight opinions, and risk reduction recommendations
• Strong understanding of risk management frameworks, 2
  
  LoD principles, and technology risk disciplines
• Experience with Power BI, Power Apps, Power Automate, SharePoint, Service Now, or similar reporting and automation platforms
• Proficiency querying, transforming, and interpreting data using SQL and related data tools
• Experience working with databases, data models, data lakes, data integration, process modeling, or technology risk data
• Exposure to AI/ML governance, model risk management, emerging technology risk, or evaluation of AI-enabled use cases
• Understanding of systems development life cycle, application architecture, testing, implementation, and technology change processes
• Strong problem-solving, troubleshooting, and analytical skills
• Ability to bridge technical, business, and risk priorities
• Excellent written, verbal, and executive communication skills
• Ability to influence stakeholders, overcome resistance, and produce results with limited direction
• Strong project management skills, including the ability to manage multiple priorities and deadlines
• Strategic, curious, collaborative, and action-oriented approach
• Ability to work from a U.S. Bank location three (3) or more days per week
• Applicants must be able to comply with U.S. Bank policies and procedures, including the Code of Ethics and Business Conduct and related workplace conduct and safety policies

Demonstrates expertise in technology risk management, including the application of statistical methods for risk analysis and the development of reporting tools. Proficient in stakeholder communication and project management within regulated financial environments.

• Technology Risk Management
• Statistical Analysis Using Python, R, SQL
• Power BI, Power Apps, Power Automate
• Risk Management Frameworks and 2
  
  LoD Principles
• Project Management Skills

• Statistical…