Data Governance Analyst

Accylerate, Inc

  • Richmond, VA
  • 1 day ago

    Highlights

    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. Ideal Candidate Profile: Seeking an experienced Data Governance Analyst to support implementation of the Enterprise Data Governance Program.

    Numbers & Facts

    LocationRichmond, VA

    Description

    Ideal Candidate Profile: Seeking an experienced Data Governance Analyst to support implementation of the 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.
     
    Job Duties & Responsibilities
    Data Governance
    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.
     
    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 & Experience
    Good 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 Skills & 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
     
    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
     
     
     
     

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