Data Governance Analyst

For more details, please connect with Rishabh Pandey at View email address on us.fitly.work or call at View phone number on us.fitly.work.

End Client: Commonwealth of Virginia Department of Behavioral Health and Developmental Services (DBHDS)



Job Title: Data Governance Analyst



Duration: 9 12 Months with Possible Extension



Location: Richmond, VA (Hybrid)



Work Model: Hybrid 2 Days Onsite per Week



Position Type: Contract



Expected Start Date: 2 Weeks After Offer Acceptance



Interview Type: Virtual Interview; Manager may require a follow-up In-Person Interview



Ceipal ID: SVA_DATA900_RP

Job Summary:

The Office of Data Governance is seeking an experienced Data Governance Analyst to support implementation of the agency's Enterprise Data Governance Program .

The Data Governance Analyst will work closely with Data Owners, Data Stewards, Business Owners, Enterprise Architecture, Data Engineers, Project Teams, and Information Security to establish trusted and governed enterprise data supporting both operational and analytical use cases.

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

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.

Required Skills:

• Minimum 10 years of experience in Data Governance, Data Management, Data Quality, Business Analysis, Metadata Management, or related disciplines .

• Minimum 10 years of Data Analysis experience.

• Minimum 10 years of experience with Data Lineage / Cataloging.

• Minimum 10 years of experience creating Data Policies and Procedures.

• Minimum 10 years of SQL experience.

• 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, SQL Server, Oracle, Snowflake, or similar technologies.

• Experience implementing enterprise Data Governance programs.

• Experience facilitating governance workshops with business and technical stakeholders.

• 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 Skills:

• Experience with Amazon Web Services (AWS) .

• Experience with Amazon S3 .

• Experience with AWS Glue and Glue Data Catalog .

• Experience with AWS Lake Formation .

• Experience with Snowflake .

• Experience with Python and SQL .

• Experience with Power BI .

• Experience with SharePoint .

• Experience in healthcare, behavioral health, Medicaid, or Virginia State Government .

Desired Knowledge:

• Enterprise Data Governance

• Data Stewardship

• Metadata Management

• Data Catalogs

• Data Quality Management

• Master Data Management

• Business Glossaries

• Critical Data Elements (CDEs)

• 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 skills.

• 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.

Work Location Requirements:

• Hybrid position 2 days onsite per week.

• Work location: Richmond, Virginia .

• Candidate must agree to the required onsite schedule.

• Manager reserves the option to conduct a follow-up in-person interview after the initial virtual interview. Candidate must be available for the in-person interview if requested.

Interview Process:

• Initial interview will be conducted virtually .

• Manager reserves the option to schedule a follow-up in-person interview if deemed necessary.

• Candidate must be available to attend the in-person interview in a timely manner if selected.

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