Data Governance Analyst

U.S. Bank • Cincinnati, OH

2d • Onsite

About The Position

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. Job Description Provides subject matter expertise around data governance principles and disciplines for U.S. Bank Operations in support of the Operations Data Products & Governance program. Ensures data delivery meets established SLA and Data Governance policy requirements. Provides support around critical data and how it is used for business ensuring that strong controls are in place to deliver fit for purpose data which is of High Quality within the business line or assigned system of record, including supporting provisioning points for business process(s). Facilitation of business data flows, documentation and completion of control assessment for all data deliverables. Mid to Senior level position supports the development of capabilities that will improve and sustain the governance, management, protection and value of U.S. Bank's data assets. Additional Job Description The ideal candidate will be responsible for working with stakeholders to write in-line testing requirements and scalable data quality tests in both high-code (SQL Stored Procedures) and low-code (Collibra, Databricks, IBM Infosphere) environments. The candidate will build relationships with stakeholders and partners on solutions where applicable. This role requires a deep understanding of the data quality subject matter and the ability to ensure data integrity and accuracy across various platforms. The analyst will be involved in developing, documenting and implementing data quality standards, conducting data quality assessments, measuring the quality of Data Products across 10-12 sub-domains across the Operations Landscape, and identifying areas for improvement to enhance overall data quality. This role requires the ability to navigate Operations Business Lines and supporting processes connecting to data which is ambiguous in nature to help identify criteria for quality testing. Introduces A.I. accelerants to the Data Quality program through tools such as Copilot Studio Supports ongoing policy development to enable compliance with regulator expectation as well as enabling improved management decision making and achievement of company strategies. Defines approaches and guidance materials around core capabilities needed to grow our data governance capabilities. Performs analysis and collaborates with business lines to help deliver clear guidance on policy requirements to allow for adoption by business lines. Collaborates with IT to help provide requirements of data architecture and tooling. Proficiency in SQL across various flavors (E.g.: MS SQL, DB2, Oracle) Experience Implementing Data Quality Testing Using Collibra, IBM InfoSphere, or Databricks Ability to data mine, analyze data, and present insights in a meaningful way This role does not support a visa sponsorship and requires working from one of the following U.S. Bank locations three (3) or more days per week : Atlanta, GA Irving, TX Saint Paul, MN Gresham, OR Cincinnati, OH

Requirements

• Bachelor's degree, or equivalent work experience
• Two to three years of experience in data governance activities
• Proficiency in SQL across various flavors (E.g.: MS SQL, DB2, Oracle)
• Experience Implementing Data Quality Testing Using Collibra, IBM InfoSphere, or Databricks
• Ability to data mine, analyze data, and present insights in a meaningful way

Nice To Haves

• Project management/business analysis knowledge and familiarity with the business line processes and/or applications
• Thorough understanding of Data Governance principles
• Thorough knowledge of data architecture concepts and data governance tooling
• Strong analytical and problem-solving skills
• Strong verbal and written communication skills

Responsibilities

• Working with stakeholders to write in-line testing requirements and scalable data quality tests in both high-code (SQL Stored Procedures) and low-code (Collibra, Databricks, IBM Infosphere) environments.
• Building relationships with stakeholders and partners on solutions where applicable.
• Developing, documenting and implementing data quality standards
• Conducting data quality assessments
• Measuring the quality of Data Products across 10-12 sub-domains across the Operations Landscape
• Identifying areas for improvement to enhance overall data quality.
• Navigating Operations Business Lines and supporting processes connecting to data which is ambiguous in nature to help identify criteria for quality testing.
• Introducing A.I. accelerants to the Data Quality program through tools such as Copilot Studio
• Supporting ongoing policy development to enable compliance with regulator expectation as well as enabling improved management decision making and achievement of company strategies.
• Defining approaches and guidance materials around core capabilities needed to grow our data governance capabilities.
• Performing analysis and collaborates with business lines to help deliver clear guidance on policy requirements to allow for adoption by business lines.
• Collaborating with IT to help provide requirements of data architecture and tooling.

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: Mid Level
• Number of Employees: 5,001-10,000 employees