Minimum 10 years of experience in Data Governance, Data Management, Data Quality, Business Analysis, Metadata Management, or related disciplines.Experience implementing enterprise Data Governance programs.Experience facilitating governance workshops with business and technical stakeholders.Strong SQL skills for data analysis and validation.Experience documenting metadata, business glossaries, and data dictionaries.Experience defining business rules and Critical Data Elements (CDEs).Experience performing data profiling, reconciliation, and validation.Excellent written and verbal communication skills.
Amazon Web Services (AWS)S3GlueGlue Data CatalogLake FormationSnowflakePythonSQLPower BISharePoint
Support implementation of the DBHDS Enterprise Data Governance Program.Facilitate governance workshops with business stakeholders.Support onboarding of new applications into the Enterprise Data Governance Program.Partner with Data Owners and Data Stewards to establish governance for new enterprise datasets.Develop and maintain governance policies, standards, procedures, and supporting documentation.
Capture and maintain business metadata, technical metadata, and data dictionaries.Develop and maintain the Enterprise Business Glossary.Define and document Critical Data Elements (CDEs).Map business metadata to technical metadata.Support metadata ingestion into the enterprise metadata repository.
Define business data quality rules.Support data profiling and business validation activities.Monitor data quality metrics and trends.Assist Data Stewards with remediation planning.Perform reconciliation and validation across enterprise data sources.
Document business and technical data lineage.Document end-to-end data flows.Assist with impact analysis for new data sources.Support governance activities across Bronze, Silver, Gold, Operational Data Store (ODS), and Analytical Data Store (ADS) layers.
Collaborate with Data Engineers supporting Python-based AWS data pipelines.Support governance of enterprise datasets published to Snowflake.Assist with proof-of-concept initiatives to consolidate data from multiple source systems into governed enterprise data assets.Support Information Lifecycle Management (ILM), data classification, retention, and internal data sharing processes.
Produce governance dashboards and metrics.Prepare executive presentations and governance reports.Present recommendations to governance committees and project teams.Communicate governance requirements to both business and technical audiences.
Enterprise Data GovernanceData StewardshipMetadata ManagementData CatalogsData Quality ManagementMaster Data ManagementBusiness GlossariesCritical Data ElementsData ClassificationData LineageInformation Lifecycle ManagementCloud Data PlatformsOperational Data StoresData WarehousingAI-ready data governance
Strong facilitation skillsExcellent analytical abilitiesOutstanding written and verbal communicationHighly organized and detail-orientedSelf-motivated and collaborativeAbility to translate business requirements into governance artifactsPassion for improving enterprise data quality and governance
