Data Platform PM: Analytics, Governance & Insights

U.S. Bank; Hopkins (MN); On-site; USD 120,000 - 141,000; Full time

Benefits offered by this job

Healthcare (medical, dental, vision)

401(k) retirement plan

Paid vacation

11 paid holidays

Parental leave

Adoption assistance

Job summary

U.S. Bank seeks a Technical Data Product Manager to own the product strategy for assigned data products across enterprise teams. You will translate business needs into actionable capabilities, drive backlog priorities, and partner with engineering to deliver outcomes that improve data quality and customer value.

You will collaborate with data governance, architecture, and analytics teams, using OKRs and performance metrics to steer roadmap decisions and ensure operational stability.

Qualifications

• 5+ years’ experience in Technical Data Product Management.
• Bachelor’s degree or equivalent experience.
• Experience defining product strategy, roadmaps, backlogs, requirements, and success measures.
• Experience with JIRA and Confluence; strong written and verbal communication.
• Strong data analytics skills with SQL, Python, Spark; understanding of data engineering.

Responsibilities

• Define and execute product vision, roadmap, and strategic direction for AC360 aligned to data strategy.
• Prioritize backlog, balance feature development, tech debt, and governance needs.
• Partner with engineering and platform teams to evaluate solutions and dependencies.
• Translate business requirements into actionable product capabilities and acceptance criteria.
• Lead data governance initiatives and monitor product performance metrics.

Skills

Technical Product Mgmt

Product strategy

Roadmaps & Backlogs

Acceptance criteria

Data analytics

SQL

Python

Spark

Databricks

Data governance

Communication

Stakeholder management

Architecture awareness

Education

Bachelor’s degree

Tools

JIRA

Confluence

Job description

U.S. Bank seeks a Technical Data Product Manager to own the product strategy for assigned data products across enterprise teams. You will translate business needs into actionable capabilities, drive backlog priorities, and partner with engineering to deliver outcomes that improve data quality and customer value.

You will collaborate with data governance, architecture, and analytics teams, using OKRs and performance metrics to steer roadmap decisions and ensure operational stability.