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Asset Metadata Taxonomy information

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$35.5K

$94.1K

$164.5K

How much do asset metadata taxonomy jobs pay per year?

As of Jun 9, 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 some 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 are the key skills and qualifications needed to thrive as an Asset Metadata Taxonomy Specialist, and why are they important?

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
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What job categories do people searching Asset Metadata Taxonomy jobs look for? The top searched job categories for Asset Metadata Taxonomy jobs are:
Asset Metadata Taxonomy jobs near you

Digital Asset Manager (Memphis, TN or Remote in USA)

American Lebanese Syrian Associated Charities

Memphis, TN

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

AtALSACyou do more than make a living; you make a difference.
We like people who are different...because we're different, too. As one of the world's most iconic and respected nonprofits, we know what it's like to stand out. That's why we're looking at you. Your background, perspective, and desire to make an impact set you apart. As we work to help St. Jude cure childhood cancer, we're calling on the game-changers, innovators and visionaries to join our family. Not just for the kids of St. Jude, but also for you. Because at ALSAC, we develop and celebrate our employees. So, bring your whole, authentic self and become part of our shared mission: Finding cures. Saving children.
Job Description

The Digital Asset Manager is a key member of the Marketing Operations team responsible for implementing, administering, and continuously optimizing ALSAC's Enterprise Digital Asset Management (DAM) system. This role ensures digital marketing and media assets are efficiently organized, easily discoverable, compliant, and strategically leveraged. By overseeing metadata standards, workflow design, user adoption, and data-driven insights, the Digital Asset Manager enables stronger creative governance, improved crosschannel visibility, and content performance insights that support personalization and enterprise marketing goals.

Essential Job Functions1. DaytoDay System Administration
  • Administers and maintains the DAM platform, performing updates, configurations, and platform optimizations.
  • Troubleshoots user issues and partners with ITS Product teams for escalations and technical enhancements.
  • Oversees ongoing asset ingestion and organization, ensuring duplicates, non-compliant assets, and obsolete content are deprecated appropriately.
  • Manages user permissions, access controls, and asset security.
2. Metadata & Taxonomy Management
  • Maintains and enforces metadata, taxonomy, and controlled vocabulary standards to drive consistent asset structure.
  • Develops and leads DAM governance strategies aligned with enterprise content management objectives.
  • Conducts data quality checks to maintain metadata accuracy and consistency, identifying areas for improvement.
  • Reviews, evaluates, and validates AI-generated tags to ensure relevance and accuracy.
3. Workflow Optimization
  • Designs and refines workflows for the endtoend asset lifecycle, including ingestion, tagging, rights management, version control, delivery, expiration, and archiving.
  • Continuously monitors workflow efficiency and identifies opportunities to streamline processes and improve user experience.
4. Reporting & Analytics
  • Builds and maintains analytics dashboards and reporting to track asset usage, discoverability, creative reuse, and distribution trends.
  • Provides insights and recommendations that guide content strategy, marketing activation, and operational decision-making.
5. Training & Communications
  • Creates training materials, documentation, and bestpractice guidance to support end users, creators, and partners.
  • Leads training sessions and onboarding for new users to ensure consistent and effective use of the DAM.
  • Communicates updates, governance guidelines, system enhancements, and workflow changes clearly and proactively.
6. Platform Adoption & Evolution
  • Collaborates with cross-functional teams-including marketing, ITS, creative, and content production-to ensure the DAM continues to evolve with organizational needs.
  • Evaluates emerging technologies, integrations, and AI/ML enhancements that strengthen DAM capabilities.
  • Acts as a subjectmatter expert on how DAM supports personalization, omnichannel content strategy, and creative operations.
Job Requirements
  • Bachelor's degree in Information Management, Digital Media, Marketing Operations, Library Science, or a related field.
  • 3-5 years of experience in Digital Asset Management, content operations, marketing technology, or similar roles.
  • Handson experience with DAM platforms, metadata structures, and asset lifecycle processes.
  • Strong understanding of metadata, taxonomy development, and controlled vocabularies.
  • Proven technical aptitude and ability to quickly learn new technologies and integrations.
  • Excellent organizational, analytical, and criticalthinking skills.
  • Interest or experience in utilizing AI/ML tools within DAM environments.
  • Strong verbal and written communication skills.
  • Demonstrated success working in a matrixed, crossfunctional environment.
Benefits & PerksThe following Benefits & Perks apply to Full-Time Roles Only.We're dedicated to ensuring children and their families have every opportunity to enjoy life's special moments. We're also committed to giving our staff excellent benefits so they can do the same.
  • Core Medical Coverage: (low cost low deductible Medical, Dental, and Vison Insurance plans)
  • 401K Retirement Plan with 7% Employer Contribution
  • Exceptional Paid Time Off
  • Maternity / Paternity Leave
  • Infertility Treatment Program
  • Adoption Assistance
  • Education Assistance
  • Enterprise Learning and Development
  • And more

ALSAC is an equal employment opportunity employer.

ALSAC does not discriminate against any individual with regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, transgender status, disability, veteran status, genetic information or other protected status.

No Search Firms:

ALSAC does not accept unsolicited assistance from search firms for employment opportunities. All resumes submitted by search firms to any ALSAC employee or ALSAC representative via email, the internet or in any form and/or method without being contacted and approved by our Employee Experience team and without a valid written search agreement in place will result in no fee being paid if a referred candidate is hired by ALSAC.

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