Data Governance Analyst (Hybrid)
Betis Group, Inc. Richmond, Virginia, United States · $104K–$146K/yr
IT Services and IT Consulting · 51-200 employees
About the role
The analyst will support the implementation of the agency's Enterprise Data Governance Program by establishing governance processes, metadata standards, and data quality rules. They will collaborate with stakeholders to manage data lineage, perform data profiling, and ensure the integrity of datasets within the AWS and Snowflake platforms.
What they look for
Requirements
Candidates must have a minimum of 10 years of experience in data governance, data management, or related disciplines. Strong SQL skills and experience facilitating governance workshops with both business and technical stakeholders are required.
Full description
Work Location: Richmond, Virginia (Hybrid)
Onsite: Two (2) days per week
Duration: Nine (9 -12) months with possible extension
Expected Start Date: Two (2) weeks after offer accepted
Parking: Parking is not provided for contractors
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
The successful candidate will:
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
Candidates with experience in the following areas are strongly preferred:
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
SkillRequirementRequired Experience
Data AnalysisRequired10 Years
Data Lineage / Data CatalogingRequired10 Years
Data Policy / Procedure CreationRequired10 Years
SQL ProficiencyRequired10 Years
Data Warehouse ExperienceRequired10 Years
Requirements ElicitationRequired10 Years
Databases (Relational Databases, SQL Server, Oracle, Snowflake, etc.)Required7 Years
