Senior Product Owner - Data Governance

Make banking a Fifth Third better® We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank. GENERAL FUNCTION: The Product Owner – Data Governance Implementation will actively partner with Data Product Owners, Data Engineers, Regulatory Reporting teams, Risk, and Technology stakeholders to establish and operationalize Data Quality and Critical Data Standard requirements for recently and newly developed data products and supporting data lifecycles. The incumbent will be responsible for defining and implementing governance, metadata, lineage, data quality, control, and monitoring requirements necessary to support regulatory reporting initiatives and sustainable data product management. This role serves as the connection between business requirements, regulatory expectations, data governance standards, and technical implementation teams to ensure that data products are developed with required controls and documentation embedded throughout the lifecycle. Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk assessment, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types. Support and adhere to all governance processes as defined by Enterprise. ESSENTIAL DUTIES & RESPONSIBILITIES: Data Governance & Requirements Define and document Critical Data Standard requirements for newly developed data products. Establish governance requirements throughout 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 business glossary, data dictionary, and metadata requirements. Define ownership, stewardship, and accountability models for new data products. Translate regulatory reporting requirements into actionable data governance and control requirements. Collaboration & Stakeholder Management Collaborate with Data Governance, Data Engineering, Architecture, Risk Management, Regulatory Reporting, and Product teams. Present recommendations and status updates to leadership and governance forums. Drive consensus across stakeholder groups regarding governance and control expectations. Identify opportunities to standardize and automate governance processes within modern data architectures. Category III Program Support Support governance readiness efforts 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 activities to confirm implementation of governance, documentation, and control requirements. Data Product Lifecycle Management Develop lifecycle requirements covering design, build, implementation, monitoring, change management, and retirement activities. 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 needs. Data Quality & Controls Define and implement of data quality control requirements for critical data elements. Establish monitoring, escalation, and remediation requirements for data quality exceptions. Identify required preventive and detective controls across the data lifecycle. Assist teams in designing sustainable control environments aligned with the Critical Data Standard. Support creation of evidentiary requirements for control performance and validation. Data Lineage & Metadata Define end-to-end business and technical lineage requirements. Document source-to-target mappings, transformation logic, and data movement requirements. Ensure lineage captures support regulatory traceability and audit expectations. Coordinate implementation of metadata management requirements within enterprise tooling. SUPERVISORY RESPONSIBILITIES: None. MINIMUM KNOWLEDGE, SKILLS, & ABILITIES REQUIRED: Bachelor's degree in a related field or equivalent education and related work experience- 4+ years of related experience years of experience in Data Governance, Data Management, Data Engineering, Regulatory Reporting, Data Product Management, or related disciplines. Experience supporting financial services regulatory reporting initiatives. Experience implementing data governance and data management capabilities at scale. Knowledge Understanding of: Data Governance frameworks Data Product operating models Metadata Management Data Lineage Data Quality Management Data Controls and Monitoring Risk and Control frameworks Lean Six Sigma certification (Green Belt, Black Belt) desired. Product management background preferred; Ability to interact with and influence within the organization. Ability to consult and articulate key messages to all levels within the organization. Basic business acumen and understanding of business processes related to your product and customers. Experience working in Agile or SAFE development a plus. Ability to promote a work environment that fosters creative thinking and innovation. Ability to have fun, a willingness to try new things and challenge the status quo through trials and an ongoing consideration of value and complexity. Collaborative with strong intellectual curiosity and creative problem solving. Good analytical skills with ability to work through concepts/data and present well thought-out, simple