Data Product Owner: Lead Trusted Data & AI Solutions

Relha LLC; Minnesota; Hybrid; USD 120,000 - 141,000; Full time

Benefits offered by this job

Hybrid schedule

Job summary

U.S. Bank is seeking a Data Product Owner to drive strategy, roadmap, and delivery of data products within the Investments Services Data Domain. You’ll liaison between business stakeholders and tech teams to translate needs into scalable, governed data products that support reporting, analytics, and AI-enabled use cases.

The role oversees lifecycle, governance, and continuous improvement, with hybrid work options. Strong data warehousing, cloud, and analytics experience are essential for success.

Qualifications

• 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 defining business requirements, user stories, product roadmaps, and prioritization frameworks.
• Experience working across business and technology organizations to deliver data, analytics, or technology solutions.
• Demonstrated ability to lead initiatives involving multiple stakeholders, competing priorities, and complex business requirements.
• Strong communication, facilitation, stakeholder management, and problem-solving skills.
• Experience managing data products, analytics products, business intelligence solutions, or enterprise data initiatives.
• Strong understanding of data warehousing, data engineering, data modeling, reporting, analytics, and modern cloud data architectures.
• Experience with cloud data platforms such as Snowflake, Databricks, Azure, SQL Server, Postgres.

Responsibilities

• Develop and maintain product vision, strategy, roadmaps, and priorities for assigned data products, ensuring alignment with business objectives and enterprise data strategy.
• Partner with business stakeholders to identify opportunities, gather requirements, and translate business needs into user stories, acceptance criteria, and prioritized backlogs.
• Lead intake, prioritization, and roadmap discussions, balancing business value, strategic objectives, technical dependencies, risk considerations, and available delivery capacity.
• Collaborate with data engineering, architecture, analytics, and governance teams to design and deliver trusted, scalable, and reusable data products that support reporting, analytics, operational processes, and AI-enabled solutions.
• Champion data-as-a-product principles, including product ownership, discoverability, documentation, governance, data quality, metadata, lineage, and lifecycle management.
• Drive adoption and continuous improvement through stakeholder engagement, product performance monitoring, user feedback, and measurement of business outcomes.
• Support the development and evolution of governed "gold" data products that improve consistency, traceability, scalability, and reuse across business and technology teams.
• Identify opportunities to simplify, standardize, modernize, and consolidate data assets and reporting solutions, including support for cloud migration and enterprise data initiatives.
• Contribute to product design, prototyping, data analysis, or development activities when appropriate to accelerate delivery and establish foundational data capabilities.

Skills

Business requirements

Cross-functional collaboration

Stakeholder leadership

Stakeholder management

Data products mgmt

Data warehousing

Data governance

Data quality

Metadata management

Data lineage

Data stewardship

Data as a product

Product KPIs

Agile product delivery

Technical communication

Cloud modernization

Financial services

Education

Bachelor's degree or equivalent

Tools

Snowflake

Databricks

Azure

SQL Server

Postgres

Job description

U.S. Bank is seeking a Data Product Owner to drive strategy, roadmap, and delivery of data products within the Investments Services Data Domain. You’ll liaison between business stakeholders and tech teams to translate needs into scalable, governed data products that support reporting, analytics, and AI-enabled use cases.

The role oversees lifecycle, governance, and continuous improvement, with hybrid work options. Strong data warehousing, cloud, and analytics experience are essential for success.