Data Governance Analyst (CDC Funded)

Cynet Systems•Richmond, VA

18h

About The Position

This role supports the implementation of the Enterprise Data Governance Program, focusing on establishing and maintaining governance for enterprise datasets. The analyst will facilitate workshops, document metadata, define business rules, and ensure data quality across various data layers. This position requires strong analytical and communication skills, with experience in data warehousing, SQL, and data governance tools.

Requirements

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.
Strong verbal and written communication skills.
Experience with Data Lineage / Cataloging.
Data Policy / Procedure creation experience.
Datawarehouse experience.
Requirements Elicitation experience.
Experience with Databases including Relational databases, SQL Server, Oracle, and Snowflake.

Nice To Haves

Experience with Amazon Web Services (AWS), S3, Glue, Glue Data Catalog, and Lake Formation.
Experience with Python and Power BI.
Experience with SharePoint.
Experience in healthcare, behavioral health, Medicaid, or state government environments.
Knowledge of Master Data Management.
Knowledge of AI-ready data governance.

Responsibilities

Support implementation of the 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.