U.S. Bank

Head of Transformation, Data Strategy and Information Insights

U.S. Bank

full-time

Posted on:

Location Type: Office

Location: Minneapolis • California, Minnesota, New York, North Carolina • 🇺🇸 United States

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Salary

💰 $193,035 - $227,100 per year

Job Level

Lead

Tech Stack

AWSAzureCloudETLGoogle Cloud PlatformHadoopLinuxPythonSparkSQLTableauUnix

About the role

  • Drive the modernization and transformation of credit data and reporting in alignment with the Enterprise Data Strategy.
  • Champion the adoption of advanced technologies, cloud solutions, and data analytics to elevate risk management capabilities.
  • Shape and execute the strategic vision for credit data and reporting, ensuring operational excellence.
  • Represent Credit Risk on multiple strategy committees.
  • Collaborate with stakeholders to gather requirements, define priorities, and deliver scalable solutions.
  • Establish a credit risk data framework inclusive of definitions, data quality scorecards and governance in centralized cloud solution(s).
  • Lead the development and implementation of innovative data and reporting solutions.

Requirements

  • 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.
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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
credit loss modelingPythonSQLSASHadoopHiveSparkdata lineage frameworksenterprise data model architecturesETL processes
Soft skills
analytical leadershiporganizational skillsproblem-solving skillsproject management skillsexecutive presenceverbal communication skillswritten communication skillsteam buildingstakeholder collaborationsynthesizing complex data