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Asset Metadata Taxonomy Jobs in Silver Spring, MD

Q2Impact

Knowledge Management Analyst

Washington, DC · On-site

Facilitate the ingestion, review, publication, and lifecycle monitoring of documents and knowledge assets. * Apply standardized metadata, taxonomy categories, and retention attributes to ensure ...

Q2Impact

Knowledge Management Analyst

Washington, DC · On-site

Facilitate the ingestion, review, publication, and lifecycle monitoring of documents and knowledge assets. * Apply standardized metadata, taxonomy categories, and retention attributes to ensure ...

Q2Impact

Knowledge Management Analyst

Washington, DC · On-site

$85 - $125/hr

Facilitate the ingestion, review, publication, and lifecycle monitoring of documents and knowledge assets. * Apply standardized metadata, taxonomy categories, and retention attributes to ensure ...

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All JobsAsset Metadata Taxonomy JobsAsset Metadata Taxonomy Jobs in Silver Spring, MD

Asset Metadata Taxonomy information

See Silver Spring, MD salary details

$36.7K

$97.3K

$170.1K

How much do asset metadata taxonomy jobs pay per year?

As of Aug 28, 2026, the average yearly pay for asset metadata taxonomy in Silver Spring, MD is $97,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $112,700.00 per year, depending on experience, location, and employer.

What is an asset metadata taxonomy?

An Asset Metadata Taxonomy is a structured classification system used to organize and categorize digital assets, such as images, videos, documents, and other media, based on their descriptive metadata. This taxonomy helps organizations standardize the way they tag and retrieve assets, making it easier to search for and manage content efficiently. By defining categories, attributes, and relationships, an asset metadata taxonomy ensures consistency, improves discoverability, and supports effective digital asset management across teams and platforms.

What skills and qualifications are needed to thrive as an asset metadata taxonomy specialist?

To excel as an Asset Metadata Taxonomy Specialist, you need a strong background in information science, metadata standards, taxonomy development, and data organization, often supported by a degree in library science or a related field. Familiarity with content management systems (CMS), digital asset management (DAM) platforms, and metadata schema tools is essential. Attention to detail, analytical thinking, and effective communication are critical soft skills for collaborating with stakeholders and ensuring consistent taxonomy application. These skills ensure accurate asset classification, improve content discoverability, and support efficient information retrieval across digital platforms.

What are common challenges faced by professionals working in asset metadata taxonomy roles, and how can they be addressed?

Professionals in Asset Metadata Taxonomy often encounter challenges such as ensuring consistency across large and evolving datasets, integrating disparate metadata standards, and coordinating with multiple stakeholders like IT, content creators, and business units. Addressing these challenges typically involves establishing clear governance frameworks, utilizing robust taxonomy management tools, and maintaining open communication with cross-functional teams. Staying updated on industry best practices and regularly reviewing the taxonomy structure can also help prevent data silos and improve overall asset discoverability.

What is the difference between Asset Metadata Taxonomy vs Asset Data Analyst?

AspectAsset Metadata TaxonomyAsset Data Analyst
Primary FocusOrganizing and classifying asset metadataAnalyzing asset data for insights and reporting
Skills RequiredTaxonomy development, metadata standards, data managementData analysis, statistical skills, reporting tools
Work EnvironmentData management teams, information systemsBusiness units, analytics teams
CertificationsData management, taxonomy certificationData analysis, business intelligence certifications

While both roles involve working with asset data, Asset Metadata Taxonomy focuses on structuring and categorizing metadata for assets, whereas Asset Data Analysts interpret and analyze asset data to support decision-making. Understanding these differences helps organizations assign the right skills to each role.

What job categories do people searching Asset Metadata Taxonomy jobs in Silver Spring, MD look for?

The top searched job categories for Asset Metadata Taxonomy jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Asset Metadata Taxonomy jobs?

Cities near Silver Spring, MD with the most Asset Metadata Taxonomy job openings:

Asset Metadata Taxonomy jobs near you

Knowledge Management Analyst

Q2Impact

Washington, DC • On-site

Full-time

Posted 22 days ago

Job description

Position Overview: 

The Knowledge Management Analyst (KMA) supports the National Guard Bureau’s (NGB) enterprise Knowledge Management Program by developing, maintaining, and optimizing the Knowledge Management System (KMS). This role ensures information is captured, structured, governed, and made accessible across the 54 States, Territories, and District of Columbia to enhance decision‑making, organizational learning, and mission readiness. The KMA works at the intersection of content governance, metadata/taxonomy management, user experience, and enterprise collaboration technologies. 

Key Responsibilities 

Knowledge Management System Development & Support 

  • Assist in the design, configuration, and continuous improvement of the National Guard Bureau (NGB) KMS, ensuring alignment with KM governance, business processes, and enterprise collaboration requirements. 
  • Support the development of content types, metadata schemas, taxonomy structures, and workflow automation within the KMS. 
  • Coordinate with Enterprise SharePoint Service Representatives (ESSRs) and platform engineers to implement KM‑aligned technical solutions. 

Content Governance & Lifecycle Management 

  • Facilitate the ingestion, review, publication, and lifecycle monitoring of documents and knowledge assets. 
  • Apply standardized metadata, taxonomy categories, and retention attributes to ensure content traceability, discoverability, and compliance. 
  • Conduct recurring content audits to validate accuracy, relevance, and alignment with current policies and operational practices. 
  • Support archival and disposition processes in accordance with NGB retention schedules and governance directives. 

Knowledge Capture & Organizational Learning 

  • Lead or support structured knowledge‑capture activities, including interviews, after‑action reviews (AARs), lessons‑learned sessions, and process documentation. 
  • Translate raw data into validated, reusable knowledge products for enterprise consumption. 
  • Promote KM best practices across NGB directorates and mission partners. 

User Support, Training & Adoption 

  • Provide guidance and training to end users on KM processes, metadata standards, search optimization, and KMS functionality. 
  • Develop job aids, SOPs, quick reference guides, and training materials to support enterprise adoption. 
  • Serve as a liaison between users, SMEs, and system administrators to resolve issues and improve user experience. 

Data Quality, Reporting & Analytics 

  • Monitor KMS usage metrics, search analytics, and content performance to identify gaps and opportunities for improvement. 
  • Produce dashboards, reports, and recommendations to support KM governance and leadership decision‑making. 
  • Ensure data quality and consistency across all knowledge repositories. 

AI‑Readiness & Advanced Capabilities 

  • Support the structuring of content, metadata, and taxonomies to enable future AI‑enabled capabilities such as Retrieval‑Augmented Generation (RAG). 
  • Ensure knowledge assets are organized in a manner that supports machine‑readable classification, traceability, and authoritative sourcing. 

Requirements

Minimum Requirements:  

  • At least five (5) years of experience applying enterprise Knowledge Management (KM) including experience with the following principles: 
  • Knowledge lifecycle management 
  • Knowledge architecture alignment 
  • Metadata/taxonomy application 
  • Knowledge product development 
  • Knowledge stewardship 
  • KM governance support 
  • Possess one of the following certifications: 
  • KM Institute (KMI) - Certified Knowledge Manager or Certirifed Knowledge Specialist 
  • American Productivity & Quality Center (APQC) Certified Knowledge Manager 
  • US Army KM Qualification Course (KMQC) 
  • Awarded the Air Force KM Air Force Specialty Code (AFSC: 3A0xx/3D0XX) 
  • BA or higher degree in Organizational Learning of Library Science 
  • Must have basic proficiency in SharePoint Online 365 including lists, information architecture alignment, and content lifecycle management 
  • Experience supporting KM governance structures, conducting KM maturity assessments, developing KM recommendations, enabling cross-functional knowledge sharing and communities of practice  
  • Experience managing stakeholder engagements and training personnel on KM principles and developing curriculum using LMS platforms  
  • Knowledge of gathering KM business requirements  

Preferred Experience 

  • Prior support to federal agencies or large enterprise KM programs. 
  • Familiarity with NGB mission sets, organizational structure, and collaboration requirements. 
  • Experience supporting content governance, enterprise search, or structured knowledge‑capture activities.