Data Governance Manager (Database, System)

Primary ObjectivesActively working on these objectives at a high level of autonomy• Establishing Data Governance Frameworks• Ensuring Data Quality• Compliance with Regulations• Promoting Data Literacy• Facilitating Collaboration Across Departments• Risk Management• Enhancing Data Accessibility and UsabilityMain responsibilities • Coordinates with operational and reporting data stewards to create data controls, identify measurement definitions, and manage dashboard uses.• Collaborates with the Data Stewards, data custodians and report developers to ensure consistent use of data definitions, authorized data sources, and calculations. Additionally, enlists business unit support to take ownership and responsibility for consistent definitions and quality of their data.• Collaborates with the Data Stewards, Architecture, and Information Technology to prioritize and resolve data sourcing, business rules, data aggregation, data distribution, and data consumption.• Ensures operational data stewards define and maintain data definitions, descriptions, set values, quality rules, and calculations in the business glossary.• Establishes and maintains programs to monitor and measure data governance adoption and achievements.• Manage documentation as well as remediation of key data issues• Documents and maintain data governance activities, maintain logs, and records issues and corresponding resolutions.• Document various governance roles and responsibilities then educate data stewards, data owners and data custodians• Maintains enterprise data policy for governing data and actively measures compliance to the data policy for critical data and reports.• Maintains ongoing communication with data stewards to ensure critical data issues are communicated timely for remediation.• Responsible for maintaining an accurate enterprise critical report library with associated reporting metadata.• Produce data governance dashboards on a recurring basis• Serve as a liaison between Business and Functional areas and technology to ensure that data-related business requirements are clearly defined, communicated, and well understood and considered as part of operational prioritization and planning.