Data Product Owner: Data & AI Platforms (Hybrid)

U.S. Bank; Milwaukee (WI); Hybride; USD 133 000 - 157 000; Plein temps

Avantages offerts par ce poste

Health insurance

Life insurance

Disability insurance

Parental leave

401(k)

Paid vacation

Paid holidays

Adoption assistance

Sick leave

Résumé du poste

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

This role serves as the liaison between business stakeholders, governance partners, and technology teams to translate needs into scalable, governed data products that support reporting, analytics, operational decisions, and AI-enabled use cases.

Qualifications

• Bachelor's degree or equivalent work experience.
• 8+ years in data, analytics, product management or related disciplines.

Responsabilités

• Develop and maintain product vision, strategy, roadmaps and priorities for data products.
• Translate business needs into user stories, acceptance criteria and backlogs.
• Lead intake, prioritization and roadmap discussions with stakeholders.
• Collaborate with data engineering, analytics and governance teams to deliver data products.
• Champion data-as-a-product principles including governance, metadata and lineage.
• Drive adoption and measure business outcomes through product performance.

Connaissances

Strong communication

Stakeholder management

Agile product delivery

Data governance

Data modeling

Cloud data architectures

SQL

Snowflake

Databricks

Azure

SQL Server

Postgres

Metadata management

Data lineage

KPIs and adoption metrics

Formation

Bachelor's degree

Outils

Snowflake

Databricks

Azure

SQL Server

Postgres

Description du poste

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

This role serves as the liaison between business stakeholders, governance partners, and technology teams to translate needs into scalable, governed data products that support reporting, analytics, operational decisions, and AI-enabled use cases.