Enitan Balogun

Data Governance and Data Quality professional with financial-services experience spanning governance frameworks, domain ownership, data stewardship, metadata, lineage, and compliance controls. Partners with business, Data Owners, Product Owners, and Digital teams to translate business requirements into trusted data products and sustainable governance practices. Hands-on experience with SQL-based profiling, quality investigation, KPI reporting, issue remediation, Collibra, Microsoft Purview, Snowflake, Power BI, and Azure.

Data Governance Analyst - MUFG

(2021-03)

• Lead enterprise data governance framework implementation across business units, aligning domain practices, metadata, and quality controls with business objectives.
• Develop governance policies, standards, stewardship models, and RACI frameworks that clarify business ownership, accountability, and responsibilities for metadata and issue resolution.
• Partner with Data Owners, Product Owners, Compliance teams, and business SMEs to translate business and compliance needs into governance requirements and Critical Data Elements (CDEs).
• Establish data quality rules, thresholds, KPIs, scorecards, and monitoring controls to assess accuracy, completeness, consistency, validity, and timeliness.
• Coordinate governance issue management and remediation across business and technology teams, prioritizing actions using data quality findings and control breaches.
• Investigate data quality failures through root-cause analysis and document corrective and preventive actions to strengthen reliable enterprise data practices.
• Maintain business glossaries, technical metadata, classifications, ownership, and approval workflows in Collibra and Microsoft Purview so consumers can find and understand governed data.
• Document end-to-end lineage across authoritative source systems, transformations, data stores, reports, and consumers to clarify dependencies and support regulatory traceability.
• Facilitate cross-functional governance forums to standardize business definitions, resolve stakeholder conflicts, and build shared understanding of governance roles and practices.
• Support access governance, sensitive-data classification, retention requirements, and data compliance controls aligned with SOX, GDPR, CCPA, and internal policies.
• Partner with cloud, engineering, and analytics teams to align business needs with standardized, governed data products for enterprise analytics, reporting, and decision-making.
• Use SQL, Snowflake, APIs, ETL pipelines, and Azure to automate data profiling, metadata ingestion, lineage validation, and governance reporting.

Data Quality Analyst - EverBank

(2019-08 - 2021-08)

• Supported enterprise governance and data quality initiatives across business systems, strengthening data integrity, consistency, and trusted reporting.
• Documented Critical Data Elements (CDEs), business definitions, accountable owners, and quality requirements to connect business concepts with governance practices.
• Collaborated with Data Owners and business Data Stewards to clarify ownership, resolve definition gaps, and establish accountability for metadata and data quality.
• Translated quality requirements into documented rules and standards for accuracy, completeness, consistency, validity, uniqueness, and timeliness.
• Performed hands-on SQL profiling to identify anomalies, duplicates, missing values, and inconsistent records, providing evidence for data quality investigations.
• Developed and maintained Power BI dashboards and scorecards to give stakeholders visibility into data quality metrics, trends, and governance exceptions.
• Investigated data quality failures, identified root causes, and partnered with business and technology teams to coordinate remediation.
• Tracked data issues, accountable owners, remediation actions, due dates, and closure evidence to sustain follow-through and support audit readiness.
• Mapped end-to-end data flows, transformations, and upstream and downstream dependencies to document lineage and improve transparency and traceability.
• Maintained business glossaries, metadata, catalog entries, and classifications to help stakeholders discover governed assets and interpret consistent business definitions.
• Supported sensitive-data classification and control reviews to align data access and handling practices with security and regulatory requirements.
• Facilitated stakeholder sessions to validate business and data requirements, standardize definitions, and build shared understanding of trusted reporting and analytics.

Business Analyst - EverBank

(2016-11 - 2019-08)

• Partnered with business SMEs to understand processes and elicit, analyze, and document requirements for new and ongoing initiatives.
• Collaborated with business and technical partners to identify process and technology risks and support mitigation planning.
• Supported Product Owners in translating business needs into user stories, prioritized backlogs, product vision, and roadmap activities.
• Analyzed AS-IS and TO-BE processes and documented gaps to identify business and system improvement opportunities.
• Facilitated interviews, workshops, observations, questionnaires, and stakeholder discussions to gather requirements and build cross-functional understanding.
• Developed requirement specifications, use cases, swimlane diagrams, and process flows to translate business concepts into functional designs.
• Clarified requirements and user stories throughout the SDLC, connecting business expectations with technical delivery.
• Facilitated Scrum ceremonies, tracked impediments, supported risk analysis, and coached teams on Agile/Scrum practices to enable adoption and delivery.

B.Sc. - Guidance and Counselling - University of Ibadan