Responsibilities
• Essential Functions of the Job:
Manage the hierarches, and governance processes to ensure they are maintained, supported and meet current business requirements, including scheduled reviews and updates
Maintain the current documentation which includes hierarchy, and master data definitions, standards and policies
Provide expert knowledge through research and acquired business knowledge
Determine and publish data quality standards and measures/KPIs for master data attribute
Investigate, promote and recommend new uses and utilization of hierarchies, taxonomies, and governance processes
Work with project management and enterprise architecture counter parts to ensure a unified strategy around hierarchies, reference data, and vocabularies
Evaluate new data sources for adherence to the organization's quality standards and work with Information Architecture to identify trusted or best sources of data and populate the Business Data Glossary with that metadata
Provide input and guidance regarding master data and data quality standards and processes to business and solution teams
Manage the master data governance processes
Provide functional requirements for development of governance workflow process development
Direct the development of governance workflow processes, and coordinate UAT and production roll-out
Communicate all new, and changes to hierarchies and governance processes to the primary stakeholders and the user community
Serve as the primary quality control analyst for all master data entities in the
primary databases
Develop and maintain data profiling and monitoring queries, routines and reports against all MDM to ensure a defined standard of data quality for master data attributes
Audit and report data quality measures/KPIs against all systems to the business units, as they pertain to the master data attributes
Escalate data management decisions that cannot be made easily or due to unresolved conflict
Report on, and support through enforcement, the agreed and signed-off policies mandated by the Data governance policy.
Identify data governance metrics and execute audits to benchmark the state of data quality, retention, security etc., and its impact on desired business outcomes.
Regularly expose data governance metrics via standard reporting mechanisms (for example, data quality scorecard or dashboard).
Engage with business leadership (key business managers, Talent leadership etc.), to quantify and articulate the business impact of violations of policy.
Develop data quality methodologies to execute data quality improvement projects.
Actively participate in the design and deployment of applications and data integration processes to ensure standards and controls, to ensure high-quality data is implemented in adherence with data governance policies.