1

Asset Metadata Taxonomy Jobs (NOW HIRING)

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

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

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

Taxonomy, Metadata & Governance • Maintain and evolve the DAM taxonomy in collaboration with ... Asset Ingestion, Organization & Quality Control • Oversee the ingestion, tagging, and ...

... taxonomy creation, metadata tracking, media activation, analytics and finance handoff. This role ... They are responsible for global rollout across media strategy, buying desks, data analysis, asset ...

Strong understanding of information science principles, including metadata standards, taxonomy development, file naming conventions, and asset organization * Experience with Adobe Experience Manager ...

... taxonomy creation, metadata tracking, media activation, analytics and finance handoff. This role ... They are responsible for global rollout across media strategy, buying desks, data analysis, asset ...

Apply taxonomy, metadata, ownership, review cadence, version control, naming standards, and lifecycle practices to keep knowledge assets organized, current, and easy to find. * Work with SMEs to turn ...

next page

Showing results 1-20

Asset Metadata Taxonomy information

See salary details

$35.5K

$94.1K

$164.5K

How much do asset metadata taxonomy jobs pay per year?

As of Aug 12, 2026, the average yearly pay for asset metadata taxonomy in the United States is $94,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $109,000.00 per year, depending on experience, location, and employer.

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 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 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.
More about Asset Metadata Taxonomy jobs
What cities are hiring for Asset Metadata Taxonomy jobs? Cities with the most Asset Metadata Taxonomy job openings:
What states have the most Asset Metadata Taxonomy jobs? States with the most job openings for Asset Metadata Taxonomy jobs include:
Infographic showing various Asset Metadata Taxonomy job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $94,129 per year, or $45.3 per hour.

Business System Analyst with Product Information Management

Avani Technology Solutions, Inc.

Portland, OR • On-site

Full-time

Re-posted 23 days ago


Job description

Job Title: BA with Product Information
Duration: 12 Months
Location: Portland, OR
Job Description
  • Website Product setup
  • Marketing Data relevant to product
  • Compliance data relevant to product
  • eCommerce Digital Asset metadata and standards
  • Product lifecycle maintenance
  • Retail data SLA's and KPIs
  • Existing and new product taxonomy
  • Product Information and Marketing Data governance stewardship