Data Governance Analyst; Hybrid

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Salary Range: $50.00 To $70.00 Hourly

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.

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.

Experience with several of the following technologies:

Amazon Web Services (AWS)

S3

Glue

Glue Data Catalog

Lake Formation

Snowflake

Python

SQL

Power BI

Share Point

Experience in healthcare, behavioral health, Medicaid, or Virginia state government is highly desirable.

The successful candidate will:

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.

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.

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.

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.

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.

Candidates with experience in the following areas are strongly preferred:

Data Stewardship

Metadata Management

Data Catalogs

Data Quality Management

Master Data Management

Business Glossaries

Critical Data Elements

Data Classification

Information Lifecycle Management

Operational Data Stores

Data Warehousing

AI-ready data governance

Excellent analytical abilities

Highly organized and detail-oriented

Self-motivated and collaborative

Ability to translate business requirements into…