Data Governance Analyst – CDC Funded

Jobtailor; Richmond (VA); On-site; USD 110,000 - 160,000; Full time

Job summary

Jobtailor in the United States (Richmond, VA) is seeking an experienced Data Governance professional to support enterprise governance programs, define CDEs, and maintain metadata, glossaries, and data quality. You will collaborate with data owners, stewards, and engineers to implement governance across multiple data platforms and cloud services.

The role emphasizes SQL proficiency, data lineage, and policy creation, with on-site work in Richmond two days per week and strong communication skills

Qualifications

• Minimum 10 years of experience in data analysis, governance, management, quality, 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 working with relational databases (SQL Server, Oracle, Snowflake).
• Experience implementing enterprise Data Governance programs.
• Experience facilitating governance workshops with stakeholders.
• Excellent written and verbal communication skills.
• Must reside in the United States and be eligible to work without sponsorship; onsite in Richmond, VA two days/week.

Responsibilities

• 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.

Skills

Data Governance

SQL Proficiency

Data Lineage Documentation

Metadata Management

Data Quality Management

Data Profiling

Reconciliation

Excellent Communication

Facilitation Skills

Organized & Detail-Oriented

Self-Motivated

Collaboration

Translate Business Requirements

Tools

Power BI

SharePoint

AWS Glue

AWS Lake Formation

AWS

Snowflake

SQL Server

Oracle

Data Catalogs

Job description

• 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, SharePoint
• 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 governance policies, standards, and documentation. Proficient in SQL and familiar with cloud data platforms, ensuring effective data stewardship and quality across enterprise datasets.

Highest-signal resume keywords

• Data Governance Implementation
• SQL Proficiency
• Data Lineage Documentation
• Metadata Management
• Data Quality Management

ATS Optimization Keywords

Hard Skills

• Data Analysis
• Data Governance
• Data Management
• Data Quality
• Metadata Management
• SQL
• Data Lineage
• Data Profiling
• Data Reconciliation
• Data Warehousing

Soft Skills

• Excellent Communication Skills
• Strong Facilitation Skills
• Highly Organized
• Detail-Oriented
• Self-Motivated

Industry Keywords

• Healthcare
• Behavioral Health
• Medicaid
• Virginia State Government
• Enterprise Data Governance
• Data Stewardship
• Information Lifecycle Management
• Business Glossaries
• Critical Data Elements
• AI-Ready Data Governance

Tools & Technologies

• AWS
• Snowflake
• SQL Server
• Oracle
• Power BI
• SharePoint
• AWS Glue
• AWS Lake Formation
• AWS Glue Data Catalog
• Data Catalogs