Collaborate across teams to implement data governance policies for data ingestion and operational processes.
Manage data sets to the defined rules and controls. Develop/implement new rules and controls as needed. Remediate data issues. Address quality issues surfaced in the data set, engage vendors and stakeholders where necessary.
Define data policies and controls for new data requirements.
Analyze and document data methodologies and data feed structures related to internal and external data sources.
Provide Data Ownership and subject matter expertise for reference data and aggregate data.
Provide data quality metrics for guidance on Enterprise data sets.
Establish working relationship with key stakeholders and manage stakeholder expectations.
Provide thought leadership and participate in projects that enhance/improve data life cycles, processes, quality, and governance.
Identify and document data quality problems and opportunities to improve data quality controls via data profiling and advanced analysis.
Document, assess, influence, and synthesize business requirements to develop and advance data platform and stewardship capabilities.
Translate complex business requirements into focused technical requirements and data solutions.
Conduct detailed UAT against complex requirements and data structures. Work closely with developers to resolve issues discovered via testing and develop solutions to address logic/design deficiencies.