Hybrid Data Product Owner – Retail Client Data

T. Rowe Price; Owings Mills (MD); Hybrid; USD 97,000 - 164,000; Full time

Benefits offered by this job

Competitive compensation

Annual bonus eligibility

Hybrid work schedule

Health and wellness benefits

Job summary

T. Rowe Price is seeking a Data Product Owner to drive Retail client data initiatives within the II organization. You will translate complex business needs into prioritized capabilities, ensuring data accuracy, governance, and usable data across platforms.

You will partner with business, technology, and analytics teams in a hybrid work arrangement, manage the backlog, define success metrics, and mentor colleagues while delivering scalable data solutions that support informed decision-making.

Qualifications

• Bachelor's degree or equivalent combination of education and relevant experience.
• Experience in Agile environments (Scrum/Kanban) with product/business/tech teams.
• Strong knowledge of data governance, quality management, metadata, lineage, and MDM.
• Experience with relational databases and SQL for data extraction and validation.
• Proven ability to coordinate across matrixed teams and influence outcomes.

Responsibilities

• Acts as Product Owner and primary point of contact for assigned client data domain across teams.
• Translates business objectives into clear product requirements and backlogs.
• Defines acceptance criteria and leads validation and UAT for data capabilities.
• Defines and monitors product success measures including adoption and data quality.
• Proactively identifies and manages data quality issues, risks, and dependencies.

Skills

Agile methodologies

Cross-functional collaboration

Analytical thinking

Communication skills

Project management

Education

Bachelor's degree or equivalent experience

Tools

Jira

Confluence

Teams

SQL

Job description

T. Rowe Price is seeking a Data Product Owner to drive Retail client data initiatives within the II organization. You will translate complex business needs into prioritized capabilities, ensuring data accuracy, governance, and usable data across platforms.

You will partner with business, technology, and analytics teams in a hybrid work arrangement, manage the backlog, define success metrics, and mentor colleagues while delivering scalable data solutions that support informed decision-making.