Data Product Owner: AI-Enabled Data Strategy

U.S. Bank; Denver (CO); Hybrid; USD 120,000 - 141,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) and employer-funded retirement

Paid time off and holidays

Parental leave

Disability coverage

Job summary

U.S. Bank is seeking a Data Product Owner to drive strategy, roadmap, prioritization, and delivery of data products within the Investment Services Data Domain.

You will translate business needs into scalable, governed data products that support reporting, analytics, and AI-enabled use cases. You will lead lifecycle activities from intake to governance and continuous improvement, partnering with data engineering, analytics, and governance teams to deliver trusted data assets across the

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 translating business needs into data products and roadmaps.

Responsibilities

• Define data product vision, strategy, and roadmaps aligned to data strategy.
• Gather requirements from stakeholders and translate into user stories.
• Collaborate with data engineering, analytics, governance to deliver scalable data products.
• Drive adoption and measure business outcomes.

Skills

Data product ownership

Stakeholder management

Agile / Scrum

Cloud data architectures

Snowflake

Databricks

Azure

SQL

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, prioritization, and delivery of data products within the Investment Services Data Domain.

You will translate business needs into scalable, governed data products that support reporting, analytics, and AI-enabled use cases. You will lead lifecycle activities from intake to governance and continuous improvement, partnering with data engineering, analytics, and governance teams to deliver trusted data assets across the