DBHDS - Data Governance Analyst (CDC Funded)

TALENT Software Services; Richmond (VA); On-site; USD 120,000 - 150,000; Full time

Job summary

The Office of Data Governance within the Virginia DBHDS is seeking an experienced Data Governance Analyst to support the Enterprise Data Governance Program. You will collaborate with Data Owners, Data Stewards, Business Owners, and IT teams to establish governed enterprise data for both operational and analytical use cases.

The role focuses on governance around data ingested into the AWS Data Platform and consumed in Snowflake, developing policies, metadata, data quality standards, and

Qualifications

• Minimum 10 years of experience in Data Governance, Data Management, or related fields.
• Experience implementing enterprise Data Governance programs.
• Strong SQL skills for data analysis.
• Experience documenting metadata, glossaries, and data dictionaries.
• Excellent written and verbal communication skills.

Responsibilities

• Support implementation of the DBHDS Enterprise Data Governance Program.
• Facilitate governance workshops with business stakeholders.
• Onboard new applications into the Enterprise Data Governance Program.
• Partner with Data Owners and Data Stewards to establish governance for new datasets.
• Develop and maintain governance policies, standards, and procedures.
• Capture and maintain business and technical metadata, and data dictionaries.

Skills

SQL

Data Governance

Workshop Facilitation

Communication

Data Quality

Metadata Management

CDEs

Data Profiling

Python

Snowflake

AWS

Power BI

Education

Bachelor's degree in a related field

Tools

Snowflake

AWS

Power BI

SharePoint

Job description

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 supporting both operational and analytical use cases.

This role focuses on governance activities supporting enterprise data ingested into the AWS Data Platform and consumed through Snowflake. The successful candidate will help establish governance processes, metadata, business rules, data quality standards, and stewardship practices while supporting the agency's growing enterprise data platform.

Required Experience

• 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.

Preferred Experience

• Experience with several of the following technologies:
• Amazon Web Services (AWS)
• S3
• Glue
• Glue Data Catalog
• Lake Formation
• Snowflake
• Python
• SQL
• Power BI
• SharePoint
• Experience in healthcare, behavioral health, Medicaid, or Virginia state government is highly desirable.

Key Responsibilities

• Data Governance
  • 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.
• Metadata Management
  • 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.
• Data Quality
  • 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.
• Data Lineage & Architecture
  • 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.
• Enterprise Data Platform
  • 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.
• Reporting & Communication
  • 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.

Desired Knowledge

• 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
• AI-ready data governance

Desired Characteristics

• Strong facilitation skills
• Excellent analytical abilities
• Outstanding written and verbal communication
• 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