The Role
Supports an enterprise data governance program across AWS and Snowflake platforms. Responsibilities include governance workshops, metadata and business glossary management, critical data element definition, data quality rules, profiling, reconciliation, lineage documentation, data classification, lifecycle management, governance reporting, and stakeholder communication. The analyst partners with data owners, stewards, engineers, architects, security teams, and project groups to establish trusted, governed enterprise data assets.
Summary Generated by Built In
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
Requirements
Skill
Required / Desired
Amount
of Experience
Data Analysis
Required
10
Years
Required
10
Years
Experience with Data Lineage / Cataloging
Required
10
Years
Required
10
Years
Data Policy /Procedure creation
Required
10
Years
Required
10
Years
Proficiency with SQL
Required
10
Years
Required
10
Years
Datawarehouse Experience
Required
10
Years
Required
10
Years
Requirements Elicitation
Required
10
Years
Required
10
Years
Experience with Databases(Relational databases, SQL Server, Oracle , Snowflake etc)
Required
7
Years
Required
7
Years
Skills Required
- 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
- Experience performing data profiling, reconciliation, and validation
- Excellent written and verbal communication skills
- 10 years of data analysis experience
- 10 years of data lineage or cataloging experience
- 10 years of data policy and procedure creation experience
- 10 years of SQL proficiency
- 10 years of data warehouse experience
- 10 years of requirements elicitation experience
- 7 years of experience with relational databases, SQL Server, Oracle, Snowflake, or similar databases
- Experience with Amazon Web Services, S3, Glue, Glue Data Catalog, Lake Formation, Snowflake, Python, SQL, Power BI, and SharePoint
- Experience in healthcare, behavioral health, Medicaid, or Virginia state government
- Experience with 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, or AI-ready data governance
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The Company
What We Do
Novalink Solutions LLC is a global consulting, engineering, and AI product development company specializing in information technology and telecommunications. They provide AI-powered products, automation platforms, intelligent workflow systems, IT consulting, managed engineering, and staff augmentation services.
