Data Governance Analyst (Hybrid)
About The Position
The Office of Data Governance is seeking an experienced Data Governance Analyst to support implementation of the agency’s Enterprise Data Governance Program. The analyst will work closely with Data Owners, Data Stewards, Business Owners, Enterprise Architecture, Data Engineers, Project Teams, and Information Security to establish trusted, governed enterprise data for operational and analytical use cases. The role focuses on governance activities for enterprise data ingested into the AWS Data Platform and consumed through Snowflake. The analyst will help establish governance processes, metadata, business rules, data quality standards, and stewardship practices while supporting the agency’s growing enterprise data platform. This is a hybrid role based in Richmond, Virginia, with onsite work two days per week. The duration is nine to twelve months, with a possible extension. The expected start date is two weeks after offer acceptance. Parking is not provided for contractors.
Requirements
- 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.
- Required experience listed for Data Analysis: 10 years.
- Required experience listed for Data Lineage / Data Cataloging: 10 years.
- Required experience listed for Data Policy / Procedure Creation: 10 years.
- Required experience listed for SQL Proficiency: 10 years.
- Required experience listed for Data Warehouse Experience: 10 years.
- Required experience listed for Requirements Elicitation: 10 years.
- Required experience listed for databases (relational databases, SQL Server, Oracle, Snowflake, etc.): 7 years.
Nice To Haves
- Experience with Amazon Web Services (AWS), S3, Glue, Glue Data Catalog, Lake Formation, Snowflake, Python, SQL, Power BI, and SharePoint.
- Experience in healthcare, behavioral health, Medicaid, or Virginia state government is highly desirable.
- 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, Information Lifecycle Management, Cloud Data Platforms, Operational Data Stores, Data Warehousing, and 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.
- Passion for improving enterprise data quality and governance.
Responsibilities
- 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 and end-to-end data flows.
- Assist with impact analysis for new data sources.
- Support governance 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 business and technical audiences.
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What This Job Offers
Career Level
Senior
Education Level
No Education Listed
