Data Analytics Manager Visa Sponsorship Jobs in Virginia
Virginia's data analytics manager market spans federal contractors in Northern Virginia, healthcare systems like Inova and VCU Health, and tech firms clustered around Tysons Corner and Reston. Major employers including Booz Allen Hamilton, Leidos, and Capital One have established sponsorship histories for senior analytics roles requiring specialized expertise.
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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 Analytics Manager Job Roles in Virginia
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Search Data Analytics Manager Jobs in VirginiaData Analytics Manager Jobs in Virginia: Frequently Asked Questions
Which companies in Virginia sponsor visas for data analytics managers?
Federal contractors and technology firms lead sponsorship activity for data analytics managers in Virginia. Booz Allen Hamilton, Leidos, General Dynamics IT, and SAIC regularly file H-1B visa petitions for senior analytics roles. Capital One, Amazon Web Services (with its Northern Virginia operations), and Freddie Mac also appear consistently in Department of Labor disclosure data for data and analytics management positions.
Which visa types are most common for data analytics manager roles in Virginia?
The H-1B is the most common visa category for data analytics managers in Virginia, given the role's requirement for a bachelor's or higher degree in a specialized field such as statistics, computer science, or information systems. L-1A visas apply when a candidate is transferring within a multinational company into a managerial capacity. O-1 visas are less common but used for candidates with documented exceptional achievement in data science or analytics.
Which cities in Virginia have the most data analytics manager sponsorship jobs?
Northern Virginia, particularly the Tysons Corner, Reston, and Arlington corridors, concentrates the highest volume of data analytics manager sponsorship activity, driven by federal contractors and technology firms. Richmond is a secondary market with meaningful opportunities in financial services, notably Capital One's headquarters. Virginia Beach and Charlottesville see more limited sponsorship activity, primarily through healthcare systems and university-affiliated organizations.
How to find data analytics manager visa sponsorship jobs in Virginia?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data analytics manager openings in Virginia without sorting through roles that don't support work authorization. You can filter by location and role type to surface positions from federal contractors, financial services firms, and technology employers across Northern Virginia and Richmond that have documented H-1B sponsorship activity.
Are there any Virginia-specific considerations for data analytics managers pursuing visa sponsorship?
Virginia's concentration of federal contractors introduces a practical consideration: many roles require security clearances, which are generally not accessible to non-U.S. citizens or permanent residents. Candidates on H-1B or other work visas should focus on commercial-facing analytics roles or contractor positions explicitly open to non-cleared candidates. University pipelines through Virginia Tech, George Mason, and UVA also supply talent that some Virginia employers are experienced in sponsoring directly from F-1 OPT status.
What is the prevailing wage for sponsored data analytics manager 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.