Data Governance Analyst – CDC Funded Job Richmond area,Virginia USA,IT/Tech

Support implementation of DBHDS's Enterprise Data Governance Program
Facilitate governance workshops with business stakeholders and technical teams
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 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 and end-to-end data flows
Assist with impact analysis for new data sources
Support governance across Bronze, Silver, Gold, ODS, and 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 consolidating multiple source systems into governed enterprise data assets
Support Information Lifecycle Management, 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 business and technical audiences
Collaborate with Data Owners, Data Stewards, Business Owners, Enterprise Architecture, Data Engineers, Project Teams, and Information Security
Facilitate cross-functional discussions and governance working sessions
Translate business requirements into governance artifacts, policies, standards, and documentation
Promote data stewardship, data quality, and consistent governance practices

Requirements

Minimum 10 years of experience in data analysis, data governance, data management, data quality, business analysis, metadata management, or related disciplines
Minimum 10 years of experience with data lineage and cataloging
Minimum 10 years of experience creating data policies and procedures
Minimum 10 years of experience with SQL
Minimum 10 years of data warehouse experience
Minimum 10 years of requirements elicitation experience
Minimum 7 years of experience working with databases, including relational databases and platforms such as SQL Server, Oracle, Snowflake, or similar technologies
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
Must physically reside within the United States for the duration of the assignment
Must be legally authorized to work in the United States without employer sponsorship, now or in the future
Must be able to work on-site in Richmond, VA two days per week
Must be available to participate in webcam and in-person interviews
Preferred: AWS, Amazon S3, AWS Glue, AWS Glue Data Catalog, AWS Lake Formation, Snowflake, Python, SQL, Power BI, Share Point
Preferred: experience in healthcare, behavioral health, Medicaid, or Virginia state government
Knowledge of enterprise data governance, data stewardship, metadata management, data catalogs, data quality management, master data management, business glossaries, Critical Data Elements, data classification, data lineage, and Information Lifecycle Management
Experience with cloud data platforms, operational data stores, and data warehousing
Knowledge of AI-ready data governance
Strong facilitation skills
Excellent analytical abilities
Highly organized and detail-oriented
Self-motivated and collaborative
Ability to translate business requirements into governance artifacts
Demonstrated interest in improving enterprise data quality and governance

Core Competencies

Demonstrates extensive experience in Data Governance, Data Quality Management, and Metadata Management, with a strong focus on developing…