Data Governance for Data Products

U.S. BankMinneapolis, MN
Hybrid

About The Position

Provides subject matter expertise in Enterprise Data Governance, Data Domain Management, and Data Product Governance within the Innovation and Transformation Office, part of Risk Management and Compliance. This is a hands-on role responsible for advancing the treatment of data as an enterprise asset through the establishment of data domain accountability, data product ownership, and sustainable governance practices. Partners with Data Product Owners, Data Domain Owners, Data Stewards, Business stakeholders, and Technology teams to identify, define, govern, and operationalize risk data products that support critical business capabilities and regulatory requirements. Ensures data products are aligned to Enterprise Data Governance policies and standards, while meeting quality, transparency, security, and lifecycle management expectations. Supports the creation and management of curated, reusable, and governed data products designed to serve defined business purposes and consumer needs. Facilitates documentation of business value, ownership, consumption patterns, data quality expectations, controls, lineage, and lifecycle requirements necessary to establish trusted and scalable data assets. Drives adoption of data product management principles by promoting user-centric design, reusability, transparency, and measurable business outcomes. Collaborates across Risk programs and Technology organizations to enable modern data architecture capabilities, improve data accessibility, increase operational efficiency, and strengthen regulatory compliance. Helps shape guidance on data governance frameworks, data management best practices, metadata and lineage concepts, data quality management, and modern cloud-based data platforms. Supports continuous improvement of Risk data governance and data product operating model capabilities to maximize the value, trustworthiness, and strategic use of U.S. Bank's data assets.

Requirements

  • Bachelor's degree, or equivalent work experience
  • Four to five years of experience in data governance activities
  • Data Product Lifecycle Management
  • Data Quality and Defect Management
  • Metadata and Data Lineage
  • Product Management mindset
  • Stakeholder and Consumer Engagement
  • Modern Data Platforms (Databricks, cloud data platforms, APIs)
  • Change Management and Adoption
  • Strong analytic and problem solving skills
  • Strong written and verbal communication skills

Nice To Haves

  • Advanced project management/business analysis knowledge and familiarity with the business line processes and/or applications
  • Advanced understanding of Data Governance principles
  • Thorough knowledge of data architecture concepts and data governance tooling

Responsibilities

  • Provides subject matter expertise in Enterprise Data Governance, Data Domain Management, and Data Product Governance.
  • Advances the treatment of data as an enterprise asset through the establishment of data domain accountability, data product ownership, and sustainable governance practices.
  • Partners with Data Product Owners, Data Domain Owners, Data Stewards, Business stakeholders, and Technology teams to identify, define, govern, and operationalize risk data products.
  • Ensures data products are aligned to Enterprise Data Governance policies and standards, meeting quality, transparency, security, and lifecycle management expectations.
  • Supports the creation and management of curated, reusable, and governed data products.
  • Facilitates documentation of business value, ownership, consumption patterns, data quality expectations, controls, lineage, and lifecycle requirements.
  • Drives adoption of data product management principles.
  • Collaborates across Risk programs and Technology organizations to enable modern data architecture capabilities, improve data accessibility, increase operational efficiency, and strengthen regulatory compliance.
  • Helps shape guidance on data governance frameworks, data management best practices, metadata and lineage concepts, data quality management, and modern cloud-based data platforms.
  • Supports continuous improvement of Risk data governance and data product operating model capabilities.

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
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service