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Metadata Manager Jobs (NOW HIRING)

BOKF, NA operates TransFund and Cavanal Hill Investment Management, Inc. BOKF, NA operates banking ... The Metadata Analyst assists in the implementation and maintenance of metadata and data catalog ...

BOKF, NA operates TransFund and Cavanal Hill Investment Management, Inc. BOKF, NA operates banking ... The Metadata Analyst assists in the implementation and maintenance of metadata and data catalog ...

Metadata Analyst

Richardson, TX · On-site

$80 - $100/hr

Metadata Analyst Areas of Interest: Data; Enterprise Data Pay Transparency Salary Range: Not ... BOKF, NA operates TransFund and Cavanal Hill Investment Management, Inc. BOKF, NA operates banking ...

BOKF, NA operates TransFund and Cavanal Hill Investment Management, Inc. BOKF, NA operates banking ... The Metadata Analyst assists in the implementation and maintenance of metadata and data catalog ...

Work within CMS and metadata management systems to input, review, and publish metadata * Meet operational deadlines, throughput targets, and delivery schedules * Collaborate with editorial, taxonomy ...

Metadata and Catalog Specialist

WV · On-site +1

$16 - $21.25/hr

Data Lake, Data Warehousing (DW), Enterprise Data, Metadata Management Certifications: None Experience: 7 + years of related experience US Citizenship Required: No Seize your opportunity to make a ...

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Metadata Manager information

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$27.5K

$81.7K

$137.5K

How much do metadata manager jobs pay per year?

As of Sep 8, 2026, the average yearly pay for metadata manager in the United States is $81,677.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is a metadata manager?

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.

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 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.

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What are the most commonly searched types of Metadata jobs?

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Infographic showing various Metadata Manager job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $81,677 per year, or $39.3 per hour.

Metadata Management Specialist Role

Washington, DC • On-site

Full-time

Re-posted 3 days ago


Job description

The work
Metadata Management Specialists make data understandable and findable. They maintain the descriptive, technical, and operational context that tells people what a data asset is, who owns it, how it is structured, where it came from, how it has changed, and whether it is appropriate for a particular use.
They build the information layer that connects catalogs, glossaries, data dictionaries, lineage, taxonomies, and standards. The role is distinct from Data Inventory Manager, who establishes the register of assets and its completeness, and from Data Governance Specialist, who sets the operating rules. Metadata specialists make the asset descriptions accurate, interoperable, and usable.
What you'll build
• Business glossaries, data dictionaries, taxonomies, and controlled vocabularies.
• Catalog metadata records that describe datasets, application programming interfaces, and data services.
• Lineage documentation and technical mappings that trace data from source through use.
• Metadata quality rules, stewardship workflows, and automation that keep descriptions current.
• Metadata patterns for AI datasets, retrieval sources, models, and evaluations when applicable.
Who you are
You know that data without context is difficult to find, interpret, reuse, or govern. You can ask the questions that make an asset understandable and create structures that allow others to answer them consistently.
You combine detail orientation with collaboration. You can work with domain experts, data engineers, data managers, and governance teams to translate working knowledge into metadata that serves people, systems, and oversight.
What you bring
• Experience with data catalogs, business glossaries, data dictionaries, lineage, or metadata repositories.
• Knowledge of metadata standards, taxonomies, ontologies, controlled vocabularies, and data modeling concepts.
• Ability to work with structured data and query tools to validate metadata against technical reality.
• Experience defining metadata quality measures, stewardship workflows, and maintenance practices.
• Clear written communication for documenting definitions, provenance, ownership, and intended use.
About OPEN Data Jobs
OPEN Data Jobs connects AI, data, and software professionals with critical roles, primarily in the federal sector. Registering with ODJ can put your profile in view for multiple positions across several clients.
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Requirements
What openings may require
Openings may require experience with a specific catalog platform or a federal metadata standard. Data Catalog Vocabulary United States (DCAT-US) is the federal data catalog metadata standard for describing datasets, application programming interfaces, and data services, and it provides a relevant federal context for some roles.
Some organizations may prioritize lineage automation, semantic modeling, data exchange standards, or artificial intelligence documentation. The specialist's role is to make context reliable and discoverable, while inventory leaders remain responsible for enterprise coverage and governance leaders remain responsible for the rules.
Benefits
Compensation, benefits, work location, and employment terms are set for each specific opening and will be stated with that opening