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Metadata Manager Jobs in Virginia (NOW HIRING)

... metadata management, and responsible AI-enabled analytics. This role requires the ability to ... translate business, operational, and mission needs into governed, secure, and usable data ...

This role will partner with key stakeholders to curate enterprise metadata, manage business glossary terms, and ensure alignment between technical and business definitions. The right candidate will ...

Experience with metadata management, taxonomy development, and enterprise data catalogs. * Experience using SQL Server, SharePoint, Microsoft Access, Microsoft Power Platform, or similar technologies.

Data Modeler

Mclean, VA · On-site

$56.25 - $72.75/hr

Collibra Metadata Management Tool · Mortgage/finance industry data modeling; Use of the MISMO Mortgage Data Standard · Supporting XML and JSON Schemas design and modeling Educational and Work ...

This role will partner with key stakeholders to curate enterprise metadata, manage business glossary terms, and ensure alignment between technical and business definitions. The right candidate will ...

Data Architect

Sterling, VA · On-site

$145K - $165K/yr

... metadata management, master data management, reference data management, and data quality standards. · Define data validation, cleansing, deduplication, reconciliation, and quality assurance ...

Assists in developing frameworks for data quality, metadata management, data lineage, and data classification * Ensures compliance with federal data mandates (e.g., evidence-based policymaking, open ...

Data Architect

Leesburg, VA · On-site +1

$64.50 - $83/hr

The ideal candidate brings deep expertise in enterprise data modeling, cloud-based data platforms, metadata management, and data governance, along with hands-on experience applying AI/ML, Knowledge ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Implement and manage an Data Layer, ensuring robust data lineage and metadata management * Create and maintain AI-ready data pipelines that enable multi-source data fusion and analytics * Integrate ...

Data Architect

Springfield, VA · On-site

$125K - $145K/yr

Experience with metadata management, taxonomy development, and enterprise data catalogs. * Experience using SQL Server, SharePoint, Microsoft Access, Microsoft Power Platform, or similar technologies.

Strong understanding of data governance principles, metadata management, and stewardship concepts. * Proficiency in facilitating stakeholder sessions and translating business needs into structured ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Implement and manage an Data Layer, ensuring robust data lineage and metadata management * Create and maintain AI-ready data pipelines that enable multi-source data fusion and analytics * Integrate ...

Ontologist/Data Scientist

Reston, VA · On-site

$195K - $210K/yr

Experience: 12+ years of experience in ontology, data modeling, or metadata management within large-scale federal or intelligence environments. and systems engineering experience within the DoD or IC.

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Metadata Manager information

See Virginia salary details

$27.3K

$81K

$136.3K

How much do metadata manager jobs pay per year?

As of Jul 14, 2026, the average yearly pay for metadata manager in Virginia is $80,976.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,600.00 and $115,500.00 per year, depending on experience, location, and employer.

What is the difference between Metadata Manager vs Data Analyst?

AspectMetadata ManagerData Analyst
Required CredentialsBachelor's degree in Information Science, Data Management, or related field; certifications like CDMPBachelor's degree in Statistics, Data Science, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentData management teams, IT departments, data governance officesBusiness units, analytics teams, reporting departments
Employer & Industry UsageUsed in organizations with large data repositories, data governance, and compliance needsUsed across industries for data-driven decision making, reporting, and insights

While both roles involve working with data, a Metadata Manager focuses on organizing, maintaining, and ensuring the quality of metadata to improve data accessibility and governance. A Data Analyst interprets data to generate insights and support business decisions. Understanding these differences helps organizations assign the right roles for their data needs.

What is the best metadata manager?

A good metadata manager for a Metadata Manager role typically includes tools like Apache Atlas, Collibra, or Informatica, which help organize, govern, and maintain metadata across data systems. Proficiency in data governance, understanding of metadata standards, and experience with these platforms are essential for effective management.

What kind of jobs in media bring in $150,000 a year?

In media, high-paying roles such as senior media managers, media directors, or executive positions often earn $150,000 or more annually. These roles typically require extensive experience, strong leadership skills, and proficiency with industry tools like media planning software and data analysis. Compensation varies based on company size, location, and individual expertise.

How does a Metadata Manager typically collaborate with other departments within an organization?

A Metadata Manager frequently works cross-functionally with departments such as IT, data governance, business intelligence, and compliance to ensure consistent data definitions and standards. This role involves facilitating communication between technical teams and business stakeholders to align data cataloging practices with organizational goals. Metadata Managers often lead training sessions, develop documentation, and help teams understand the importance of metadata quality, making collaboration and strong interpersonal skills key parts of the job.

What are the key skills and qualifications needed to thrive as a Metadata Manager, and why are they important?

To thrive as a Metadata Manager, you need strong expertise in data management, metadata standards, taxonomy, and information architecture, typically supported by a related degree in library science, information management, or computer science. Familiarity with metadata management tools (e.g., Collibra, Informatica), data catalog systems, and knowledge of data governance frameworks is essential. Attention to detail, analytical thinking, and effective communication are critical soft skills for collaborating with stakeholders and ensuring data quality. These skills and qualifications are crucial for organizing, standardizing, and maximizing the value of organizational data assets.

What does a metadata manager do?

A metadata manager is responsible for organizing, maintaining, and ensuring the accuracy of metadata, which is data that describes other data within an organization. They often work with data management tools, set standards for metadata quality, and collaborate with IT and data teams to improve data accessibility and consistency.

What jobs in the US pay 300,000 a year?

For a Metadata Manager, high salaries of $300,000 or more are uncommon and typically found in executive or senior-level roles within large organizations. Such compensation may be achieved through senior management positions, specialized expertise, or in industries like technology or finance, often requiring advanced skills, certifications, and extensive experience. Most roles in metadata management tend to have lower salary ranges, but top executives or consultants can reach or exceed this level.

What are Metadata Managers?

Metadata Managers are professionals responsible for organizing, maintaining, and overseeing the metadata that describes data assets within an organization. Their role ensures that information about data—such as its source, format, ownership, and usage—is accurately recorded and easily accessible. This helps improve data governance, enables efficient data retrieval, and supports compliance with data regulations. Metadata Managers often collaborate with IT, data governance, and business teams to implement metadata standards and tools.
What are the most commonly searched types of Metadata jobs in Virginia? The most popular types of Metadata jobs in Virginia are:
What are popular job titles related to Metadata Manager jobs in Virginia? For Metadata Manager jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Metadata Manager jobs in Virginia look for? The top searched job categories for Metadata Manager jobs in Virginia are:
What cities in Virginia are hiring for Metadata Manager jobs? Cities in Virginia with the most Metadata Manager job openings:
Infographic showing various Metadata Manager job openings in Virginia as of July 2026, with employment types broken down into 100% Full Time. Highlights an 49% In-person, 18% Hybrid, and 33% Remote job distribution, with an average salary of $80,976 per year, or $38.9 per hour.
Manager, Data Analytics - Remote

Manager, Data Analytics - Remote

ICF

Reston, VA • Remote

Full-time

Re-posted 26 days ago


Job description

This role is contingent upon a contract award.

ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance, and AI-enabled capabilities for a complex federal technology services program. This role will support the design, implementation, and sustainment of data policy, standards, governance processes, portfolio management practices, data architecture, data quality controls, analytics products, dashboards, and secure data access models.

The ideal candidate has demonstrated experience leading enterprise data initiatives in regulated environments, with strong technical credibility across data governance, data architecture, data engineering, analytics, data quality, metadata management, and responsible AI-enabled analytics. This role requires the ability to translate business, operational, and mission needs into governed, secure, and usable data capabilities that support decision-making, performance management, and continuous improvement.

Job Location: This position is remote within the United States.

Please note that ICF monitors employee work locations, restricts access from foreign locations and IP addresses, and prohibits the use of personal VPN connections.

What You'll Be Doing
  • Lead enterprise data, analytics, governance, and AI-enabled capability delivery across a complex federal technology environment.
  • Develop and implement data governance policies, standards, operating procedures, approval workflows, and accountability models.
  • Establish and maintain data portfolio management practices, including prioritization, project intake, resource planning, risk tracking, milestone reporting, and performance measurement.
  • Lead the design and implementation of scalable data architecture, including data pipelines, data lakes, data warehouses, data marts, data catalogs, metadata repositories, and data lineage capabilities.
  • Define and enforce data quality standards, validation rules, data dictionaries, scorecards, issue management workflows, and continuous monitoring processes.
  • Guide development of analytics products, dashboards, reports, and visualization tools that provide operational insight and support executive decision-making.
  • Support advanced analytics capabilities, including statistical analysis, predictive modeling, trend analysis, root cause analysis, and AI-enabled analytics.
  • Ensure data sharing, API integration, and data access models are secure, governed, auditable, and aligned with privacy, cybersecurity, and compliance requirements.
  • Partner with cybersecurity, engineering, product, and program management teams to align data platforms, applications, integrations, and analytics capabilities with enterprise standards.
  • Establish reusable templates, frameworks, data models, ETL/ELT patterns, documentation repositories, and project management toolkits for data initiatives.
  • Support training, documentation, and knowledge transfer to improve user adoption and long-term sustainment of data tools, dashboards, and data management practices.
  • Monitor data quality, data usage, access patterns, and analytics adoption to identify risks, improvement opportunities, and operational blind spots.
What You Must Have
  • U.S. Citizenship required due to federal contract requirements.
  • Must be able to obtain and maintain a Federal Public Trust clearance.
  • Bachelor's Degree
  • 10+ years of experience leading enterprise data, analytics, data governance, data engineering, data architecture, or AI-enabled analytics initiatives.
  • One active data, cloud, analytics, AI/ML, or data governance certification, such as CDMP, DAMA, AWS/Azure/GCP data certification, Microsoft Power BI certification, Databricks, Snowflake, or equivalent
What we would like you to have:
  • 8+ years of experience designing, implementing, or managing enterprise data platforms, data pipelines, data warehouses, data lakes, data marts, data catalogs, or metadata management capabilities.
  • 5+ years of experience establishing data governance policies, standards, stewardship models, data quality frameworks, data dictionaries, lineage practices, or data management operating models.
  • 5+ years of experience delivering analytics products, dashboards, reporting capabilities, data visualizations, or executive decision-support tools.
  • 5+ years of experience working in federal, public sector, healthcare, life sciences, or other regulated environments with formal privacy, security, or compliance requirements.
  • 3+ years of experience supporting AI-enabled analytics, predictive modeling, machine learning workflows, anomaly detection, or advanced analytics use cases.
  • 3+ years of experience with data integration methods, including APIs, ETL/ELT pipelines, data orchestration, batch processing, real-time ingestion, or change data capture.
  • 3+ years of experience using data visualization, analytics, or business intelligence tools such as Power BI, Tableau, QuickSight, Looker, Palantir Foundry, or similar platforms.
  • 3+ years of experience with cloud data services on AWS, Microsoft Azure, Google Cloud Platform, or similar cloud environments.
  • Experience supporting HHS, NIH, FDA, CMS, CDC, or other health-focused federal environments.
  • Experience building or supporting Chief Data Office functions, enterprise data governance programs, or data portfolio management organizations.
  • Experience with data privacy, data protection, data classification, DLP, encryption, RBAC, ABAC, just-in-time access, or audit logging requirements.
  • Experience aligning data capabilities with NIST, FISMA, HIPAA, FedRAMP, GDPR, or other security and compliance frameworks.
  • Experience developing data catalogs, metadata management approaches, lineage models, data quality scorecards, data issue repositories, and data stewardship workflows.
  • Experience implementing AI governance, responsible AI practices, model monitoring, explainability, human-in-the-loop review, or secure AI-enabled analytics.
  • Experience with SQL, Python, R, Databricks, Snowflake, Redshift, BigQuery, Synapse, Dataverse, or similar data platforms and tools.
  • Additional cloud, data, analytics, AI/ML, cybersecurity, Agile, ITIL, DAMA, CDMP, or project management certification.

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please emailCandidateaccommodation@icf.comand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$98,614.00 - $167,644.00Nationwide Remote Office (US99)