Credit Risk Administration – Head of Transformation, Data Strategy and Information Insights (TDSI)

U.S. Bank National Association • Minneapolis, MN

7d • $193,035 - $227,100

About The Position

We are seeking a visionary and dynamic leader to head the Credit Transformation, Data Strategy, and Information Insights (TDSI) team, a critical part of our Credit Risk Administration (CRA) function. This executive will drive the modernization and transformation of credit data and reporting in alignment with the Enterprise Data Strategy, championing the adoption of advanced technologies, cloud solutions, and data analytics to elevate our risk management capabilities. About the Credit Risk Administration (CRA) Team We are a highly dynamic and talented team which delivers on our mission through four pillars: Customer, Process, Talent, and Data. Vision | We create the future of credit risk management through data, analytics, and risk process innovation for our customers. Mission | We deliver data-driven information solutions to protect our stakeholders and inform the most significant financial decisions in the bank. Values | In addition to U.S. Bank core values, we prioritize collaboration, integrity, simplicity, and continuous learning. About the Role The ideal candidate will possess deep expertise in credit risk, data strategy/governance, and analytics, with a proven track record of leading multidisciplinary teams through complex transformation initiatives. This leader will be responsible for shaping and executing the strategic vision for credit data and reporting, ensuring operational excellence, regulatory compliance, and alignment with enterprise-wide data strategies including executing on our global delivery strategy. This leader will balance hands-on management of daily operations with strategic modernization, driving automation and process innovation to deliver efficiencies across the Credit Risk Management platform. This leader will represent Credit Risk on multiple strategy committees. You will work closely with business stakeholders, Risk Managers, Model Owners, Technology teams, Source System owners, Business Line partners, Data Strategy and Data Domain owners, and Reporting functions to gather requirements, define priorities, and deliver scalable solutions.

Requirements

• Deep understanding of credit data across Commercial and Retail portfolios.
• Extensive experience in data, governance, and analytics within financial services (e.g., Basel III, Category II, CCAR, CECL, Regulatory Submissions FRY14).
• Advanced skills in data modeling, analytics, and integrating historical, forecasted, and unstructured data.
• Proficiency in dashboard creation, automated workflows, and scalable delivery mechanisms for wholesale and retail credit portfolios.
• Ability to represent credit risk in critical projects and on enterprise committees/working groups.
• Experience supporting system conversions and cloud migration efforts.
• Strong analytical skills for researching and remediating issues.
• Cloud data architecture and open-source tooling (e.g., Spark, Airflow, AWS, Azure, Snowflake, Databricks).
• Familiarity with AI-driven tools and platforms (e.g., Microsoft Copilot, Microsoft Power Platform).
• Technical fluency in cloud platforms (Azure, AWS, GCP) and cloud-native data services.
• Technical fluency in SQL, Python, or similar languages, and proficiency with Microsoft Power Platform tools (Power Automate, Power Apps, PowerBI).
• Proficiency with big data technologies (Spark, Airflow, Hadoop, Hive).
• Ability to promote a culture of continuous improvement, collaboration, and learning.
• Strong stakeholder engagement and cross-functional collaboration skills.
• Proven leadership in building and developing high-performing teams and Partnership Building.
• Ability to drive integration of global delivery efforts and manage complex, multi-location initiatives.
• Excellent communication skills for engaging with cross-functional teams and senior leadership.
• Master’s Degree or higher in a quantitative field such as computer science, data science, mathematics, or statistics.
• 10 or more years of experience in analytical leadership and/or development.
• Strong experience in credit loss modeling (PD, LGD, EAD) across various loan portfolios.
• Deep understanding of banking, financial metrics, and credit risk management.
• Knowledge of banking regulation and requirements for stress testing and credit reserves.
• Demonstrated success attracting talent, building and leading teams of model developers or analysts in similar technical fields.
• Excellent executive presence and verbal and written communication skills.
• Strong analytical, organizational, problem-solving, and project management skills.
• Hands-on experience with programming languages such as Python, SQL and SAS.
• Proficiency with big data technologies including Hadoop, Hive, and Spark.
• Experience designing and implementing data lineage frameworks and enterprise data model architectures.
• Expertise in visual analytics tools such as Power BI, Tableau, or equivalent platforms.
• Experience with Microsoft Power Platform tools such as Power Automate and Power Apps.
• Proven track record in automating and optimizing ETL processes at scale.
• Strong familiarity with both Microsoft and Linux/UNIX environments.
• Hands-on experience with cloud platforms (e.g., Azure, AWS, GCP) and cloud-native data services.
• Excellent written and verbal communication skills for documenting technical processes and engaging with cross-functional teams.
• Demonstrated ability to synthesize complex data analysis into actionable insights for senior management.

Responsibilities

• In conjunction with Enterprise Data Strategy and the business line leaders, establishing a credit risk data framework inclusive of definitions, data quality scorecards and governance in centralized cloud solution(s).
• Aligning historical modeling, forecasted and nonstructured data to strategy and cloud solutions for broader insights/usage.
• Leading the development and implementation of innovative data and reporting solutions that support both wholesale and retail credit portfolios. Promote usage of dashboards, automated workflows and delivery mechanisms.
• Representing credit risk reporting and data strategy in enterprise-wide initiatives and critical projects.
• Collaborate with Subject-Matter Experts in Credit Risk Management (CRM) to gather requirements, design data models, and implement robust validation and reconciliation controls.
• Support system conversions and cloud migration efforts, ensuring seamless integration and minimal disruption.
• Promoting a culture of continuous improvement, collaboration, and learning within the team.
• Building strong partnerships across business lines, technology, and data domain owners to deliver scalable, cloud-enabled solutions.
• Leverage AI tools and platforms, including Microsoft Copilot and Microsoft Power Platform, enhance productivity, automate processes, and support reporting workflows.
• Drive integration of global delivery efforts.

Benefits

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Number of Employees: 1,001-5,000 employees