Data Management Analyst Visa Sponsorship Jobs in Virginia
Virginia is a strong market for data management analyst roles, anchored by federal contractors, defense agencies, and technology firms concentrated in Northern Virginia's Dulles corridor and the D.C. suburbs. Employers like Booz Allen Hamilton, Leidos, SAIC, and General Dynamics Information Technology regularly hire for data management and analytics positions and have established visa sponsorship programs.
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Get Access To All JobsINTRODUCTION
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
Skill Matrix:
- Data Analysis Required 10 Years
- Experience with Data Lineage / Cataloging Required 10 Years
- Data Policy /Procedure creation Required 10 Years
- Proficiency with SQL Required 10 Years
- Datawarehouse Experience Required 10 Years
- Requirements Elicitation Required 10 Years
- Experience with Databases(Relational databases, SQL Server, Oracle, Snowflake etc) Required 7 Years
Benefits at IntelliBee
- Long-Term Stability: Join us on a multi-year opportunities with room to grow.
- Comprehensive Health Coverage: Access quality healthcare benefits to keep you and your family well.
- Future Planning: Enroll in our 401(k) program and invest in your financial security.
- GC Assistance: We support immediate Green Card processing, if required.
INTRODUCTION
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
Skill Matrix:
- Data Analysis Required 10 Years
- Experience with Data Lineage / Cataloging Required 10 Years
- Data Policy /Procedure creation Required 10 Years
- Proficiency with SQL Required 10 Years
- Datawarehouse Experience Required 10 Years
- Requirements Elicitation Required 10 Years
- Experience with Databases(Relational databases, SQL Server, Oracle, Snowflake etc) Required 7 Years
Benefits at IntelliBee
- Long-Term Stability: Join us on a multi-year opportunities with room to grow.
- Comprehensive Health Coverage: Access quality healthcare benefits to keep you and your family well.
- Future Planning: Enroll in our 401(k) program and invest in your financial security.
- GC Assistance: We support immediate Green Card processing, if required.
Data Management Analyst Job Roles in Virginia
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Search Data Management Analyst Jobs in VirginiaData Management Analyst Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for data management analysts in Virginia?
Federal contractors and technology firms account for a large share of data management analyst sponsorship in Virginia. Booz Allen Hamilton, Leidos, SAIC, General Dynamics Information Technology, Northrop Grumman, and Deloitte have all filed Labor Condition Applications for data management and analytics roles in the state. Consulting firms and cloud infrastructure companies with offices in Northern Virginia also sponsor regularly for these positions.
Which visa types are most common for data management analyst roles in Virginia?
The H-1B visa is the most common visa category for data management analysts in Virginia, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in a relevant field such as computer science, information systems, or statistics. Candidates already holding L-1B status through a multinational employer and those on OPT or STEM OPT extensions also fill many of these roles before transitioning to H-1B sponsorship.
Which cities in Virginia have the most data management analyst sponsorship jobs?
Northern Virginia, particularly the Tysons Corner, Reston, Herndon, and Arlington areas, accounts for the majority of data management analyst sponsorship activity in the state. This corridor houses the U.S. headquarters or major offices of many federal contractors and technology companies. Richmond and the Hampton Roads region also have hiring activity, though at lower volume, primarily through financial services firms and defense-related employers.
How to find data management analyst visa sponsorship jobs in Virginia?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it practical to search for data management analyst roles in Virginia without manually screening out employers who don't sponsor. You can filter by location to focus on Northern Virginia's contractor corridor or Richmond. Because many Virginia postings come from federal contractors, checking for active Department of Defense or civilian agency contract work can help identify employers actively hiring for these roles on Migrate Mate.
Are there state-specific factors that affect data management analyst sponsorship in Virginia?
Virginia's high concentration of federal contractors introduces a unique consideration: some data management analyst positions require a security clearance, which is generally not available to foreign nationals on nonimmigrant visas. This narrows the pool of sponsoring roles compared to pure commercial technology employers. Candidates benefit from targeting contractors with unclassified or commercial-side data practices, as well as technology companies in Northern Virginia that operate outside the cleared intelligence community.
What is the prevailing wage for sponsored data management analyst jobs in Virginia?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.