below marketmost similar roles pay hereabove market
This role pays less than
86%
of similar roles. Most pay
$161,941–$231,000
— the blue band above.
At the midpoint, this role pays about
$145k
versus about
$196k
for comparable roles.
Based on 240 similar postings.
Employer
About US Bank
U.S. Bank (U.S. Bancorp) is the fifth-largest bank in the United States, providing retail banking, corporate and commercial banking, wealth management, and payment services to millions of customers. Industry: Banking & Financial Services
US Bank currently has
48 open roles
on FindRole.
Listed pay typically runs
$119,765–$140,900
across 33 roles with salary data.
The Data Product Owner joins the Investment Services Data Domain to drive the strategy, roadmap, and delivery of scalable data products. This role serves as the primary liaison between business stakeholders and technology teams, translating requirements into user stories and prioritized backlogs. You will manage the full lifecycle of data products, including intake, governance, and continuous improvement, while supporting the development of foundational gold data products. Key responsibilities include championing data-as-a-product principles and overseeing data quality, metadata, and lineage. The role requires expertise in data warehousing, data modeling, and cloud architectures using technologies like Snowflake, Databricks, Azure, SQL Server, and Postgres. You will solve complex business problems by modernizing data assets and migrating on-premises systems to the cloud to support reporting, analytics, and AI-enabled use cases.
Develop and maintain product vision, strategy, roadmaps, and priorities for assigned data products.
Translate business needs into user stories, acceptance criteria, and prioritized backlogs for technology teams.
Lead intake and prioritization discussions to balance business value, technical dependencies, and delivery capacity.
Collaborate with engineering and architecture teams to deliver scalable, reusable data products for analytics and AI.
Champion data-as-a-product principles including governance, data quality, metadata, and lifecycle management.
Drive product adoption and continuous improvement through stakeholder engagement and performance monitoring.
Support the development of governed "gold" data products to improve consistency and traceability.
Identify opportunities to simplify, standardize, and modernize data assets and reporting solutions.
What we're looking for
Bachelor's degree or equivalent work experience.
Typically eight or more years of experience in data, analytics, product management, business analysis, technology delivery, or related disciplines.
Experience supporting Investment Services, Fund Services, Custody, Fund Accounting, Transfer Agency, or other financial services organizations (preferred).
Experience defining business requirements, user stories, product roadmaps, and prioritization frameworks.
Experience working across business and technology organizations to deliver data, analytics, or technology solutions.
Experience managing data products, analytics products, business intelligence solutions, or enterprise data initiatives.
Experience with technologies such as Snowflake, Databricks, Azure, SQL Server, Postgres, or similar data platforms.
Experience operating within Agile product delivery environments and managing product backlogs.
SQL
Agile
Scrum
APIs
Data Analysis
Data Governance
Data Lineage
Data Contracts
Data Product Ownership
Source-to-Target Analysis
Metadata
Data Quality
Reporting Platforms
AI-enabled capabilities
Data Product Management
SQL
Agile
Azure DevOps
Jira
Data Governance
Data Lineage
Data Quality
Data Analytics
Product Lifecycle Management
Regulatory Reporting
Data Engineering
User Stories
Epics
Data Product Management
Data Governance
Data Architecture
Data Quality
Backlog Management
Business Intelligence
Data Engineering
User Stories
Privacy-by-Design
SQL
BigQuery
Snowflake
Databricks
AWS
Azure
Data Lakehouse
Agile
SAFe
Looker
Tableau
Power BI
Data Governance
Metadata Management
Data Warehousing
Data Prototyping
Azure DevOps
Agile
Scrum
Power BI
Confluence
Data Ingestion
Data Ontology
Edge Computing
AI
Data Lifecycle
Data Quality Framework
Digital Thread
Change Control
Problem Management
Program Management