Risk Oversight Automation Lead

Jobtailor

Arizona

Hybrid

USD 120,000 - 180,000

Full time

5 days ago
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Job summary

Jobtailor is seeking a senior technology risk professional to conduct independent oversight across DSCRO domains, applying 2LoD standards. You will analyze data, build dashboards, and communicate risk narratives to executives, collaborating with 1LoD teams and data groups.

This role requires strong statistical skills, experience in regulated financial environments, and ability to manage multiple priorities. Located in the United States, Arizona, hybrid work model offered.

Qualifications

  • Bachelor's degree or equivalent work experience.
  • Typically more than six years of applicable experience.
  • Experience analyzing complex data 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, 2LoD principles, and technology risk disciplines.
  • Experience with Power BI, Power Apps, Power Automate, SharePoint, ServiceNow, or similar reporting and automation platforms.

Responsibilities

  • Conduct independent technology risk oversight assessments across 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.
  • Translate statistical and pattern analysis into clear risk narratives, oversight opinions, escalation recommendations, and actionable risk reduction opportunities.
  • Design dashboards and reporting tools supporting risk aggregation, monitoring, executive decision-making, and independent assessment work.
  • Lead or contribute to thematic analysis and initiatives supporting DSCRO oversight opinions.
  • Partner with 1LoD technology and business teams, peer 2LoD 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.

Skills

Statistical analysis
Pattern detection
Data interpretation
Communication with stakeholders
Project management

Education

Bachelor's degree or equivalent work experience

Tools

Power BI
Power Apps
Power Automate
SharePoint
SQL
Data Lakes
Data Models
Automation Platforms
AI/ML Governance

Job description

  • 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
  • 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 1LoD technology and business teams, peer 2LoD 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
Requirements
  • 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, 2LoD principles, and technology risk disciplines
  • Experience with Power BI, Power Apps, Power Automate, SharePoint, ServiceNow, 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
Core Competencies

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.

Highest-signal resume keywords
  • Technology Risk Management
  • Statistical Analysis Using Python, R, SQL
  • Power BI, Power Apps, Power Automate
  • Risk Management Frameworks and 2LoD Principles
  • Project Management Skills
ATS Optimization Keywords
Hard Skills
  • Statistical Analysis
  • Pattern Detection
  • Risk Narratives
  • Data Integration
  • Anomaly Detection
  • Trend Analysis
  • Materiality Assessments
  • Data Querying
  • Risk Reduction Recommendations
  • Technology Change Processes
Soft Skills
  • Problem-Solving
  • Analytical Skills
  • Communication Skills
  • Influencing Stakeholders
  • Collaboration
Industry Keywords
  • Regulated Financial Institution
  • IT Governance
  • Audit
  • Compliance
  • Independent Oversight
  • 2LoD Standards
  • Emerging Technology Risk
  • Model Risk Management
  • Systems Development Life Cycle
  • Executive Decision-Making
Tools & Technologies
  • Power BI
  • Power Apps
  • Power Automate
  • SharePoint
  • ServiceNow
  • SQL
  • Data Lakes
  • Data Models
  • Automation Platforms
  • AI/ML Governance
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