Senior Product Owner - Data Governance

The Product Owner – Data Governance Implementation at Fifth Third Bank partners with data and technology stakeholders to establish and operationalize data quality and Critical Data Standard requirements for newly developed data products and their supporting data lifecycles. This role helps ensure regulatory reporting traceability through embedded governance, metadata, lineage, controls, and monitoring.

Location

Cincinnati, OH (onsite)

Responsibilities

• Define and document Critical Data Standard requirements for newly developed data products.
• Establish governance requirements across the data product lifecycle from source acquisition through consumption.
• Partner with Data Product Owners to identify and document Critical Data Assets (CDAs) and Critical Data Elements (CDEs).
• Facilitate development of a business glossary, data dictionary, and metadata requirements.
• Define ownership, stewardship, and accountability models for new data products.
• Translate regulatory reporting needs into actionable governance and data control requirements.
• Collaborate with Data Governance, Data Engineering, Architecture, Risk Management, Regulatory Reporting, and Product teams.
• Present recommendations and governance status updates to leadership and governance forums.
• Drive stakeholder alignment on governance and control expectations.
• Identify opportunities to standardize and automate governance processes within modern data architectures.
• Support governance readiness for Category III reporting initiatives, including LCR, NSFR, FR 2052a, SCCL, and related reporting assets.
• Facilitate workshops with business, technology, and governance stakeholders.
• Track governance deliverables, dependencies, risks, and remediation activities.
• Support validation efforts to confirm implementation of governance, documentation, and control requirements.
• Develop lifecycle requirements covering design, build, implementation, monitoring, change management, and retirement.
• Establish governance tollgates and required deliverables for new data products.
• Define service level requirements, operational support expectations, and monitoring standards.
• Ensure data products are designed to support downstream regulatory reporting and data consumption.
• Define and implement data quality control requirements for critical data elements.
• Establish monitoring, escalation, and remediation requirements for data quality exceptions.
• Identify preventive and detective controls across the data lifecycle.
• Support design of sustainable control environments aligned with the Critical Data Standard.
• Support creation of evidentiary requirements for control performance and validation.
• Define end-to-end business and technical lineage requirements, including source-to-target mappings, transformation logic, and data movement requirements.
• Ensure lineage supports regulatory traceability and audit expectations.
• Coordinate implementation of metadata management requirements within enterprise tooling.

Minimum Qualifications

• Bachelor's degree in a related field (or equivalent education and related work experience).
• 4+ years of related experience in areas such as Data Governance, Data Management, Data Engineering, Regulatory Reporting, Data Product Management, or related disciplines.

Additional Requirements

• Experience supporting financial services regulatory reporting initiatives.
• Experience implementing data governance and data management capabilities at scale.
• Understanding of Data Governance frameworks.
• Understanding of Data Product operating models.
• Understanding of Metadata Management and Data Lineage.
• Understanding of Data Quality Management and Data Controls and Monitoring.
• Understanding of Risk and Control frameworks.
• Lean Six Sigma certification (Green Belt, Black Belt) desired.
• Product management background preferred, including the ability to interact with and influence across the organization.
• Ability to consult and articulate key messages at all organizational levels.
• Basic business acumen and understanding of business processes related to your product and customers.
• Experience working in Agile or SAFE development is a plus.
• Ability to promote a work environment that fosters creative thinking and innovation.
• Collaborative approach with strong intellectual curiosity and creative problem solving.
• Good analytical skills, including the ability to work through concepts and data and present clear, well-thought-out solutions.
• Ability to self-motivate and work independently and across teams in a fast-paced environment with minimal supervision.
• SQL and data analysis skills.
• Data warehousing and modern data platform concepts.
• Experience with metadata, catalog, lineage, and data quality tools.
• Familiarity with relational database technologies.

Technologies

• SQL
• Agile
• SAFe