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Asset Metadata Taxonomy Jobs (NOW HIRING)

Manage asset ingestion, metadata standards, taxonomy, tagging, version control, and content lifecycle processes. * Ensure digital assets are organized, searchable, compliant, and accessible across ...

Metadata & Tagging: Applying descriptive metadata, keywords, and consistent tags in shot lists to enhance asset searchability and ensure proper usage rights and taxonomy. * Workflow & Process ...

Metadata & Tagging: Applying descriptive metadata, keywords, and consistent tags in shot lists to enhance asset searchability and ensure proper usage rights and taxonomy. * Workflow & Process ...

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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 30, 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.

How much do digital asset managers make?

Digital asset managers typically earn a median annual salary ranging from $70,000 to $120,000, depending on experience, location, and industry. Salaries can increase with certifications, advanced skills in metadata management, and familiarity with digital asset management tools like DAM software.

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.

How to be a data taxonomy specialist?

A data taxonomy specialist develops and manages structured classifications of data assets to improve data organization and retrieval. Key skills include understanding data modeling, metadata standards, and taxonomy tools, along with proficiency in data management software and strong analytical abilities. Gaining relevant certifications and experience in data governance can enhance career prospects.

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.

What is a data taxonomist job description?

A data taxonomist is responsible for developing and maintaining classification systems that organize data assets, ensuring consistency and discoverability across an organization. They analyze data structures, create metadata schemas, and collaborate with data management teams, often using tools like data catalogs and taxonomy management software. Strong analytical skills and knowledge of data governance are essential for this role.

What do you need to be a metadata specialist?

A metadata specialist typically needs a bachelor's degree in information science, library science, or a related field. Strong skills in data management, taxonomy development, and familiarity with metadata standards like Dublin Core or ISO 19115 are essential, along with experience using metadata management tools and attention to detail.
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 June 2026, with employment types broken down into 98% Full Time, 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.

Metadata / Data Cataloging Senior Analyst

Guidehouse

Arlington, VA

$98K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago


Guidehouse rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

36th of 58 rated business consultants


Job description

Job Family:

Data Engineering & Architecture Consulting


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

The Metadata / Data Cataloging Lead (Managing Consultant) leads and executes enterprise metadata baselining and catalog operationalization, with deep hands-on responsibility for configuring and using data catalog platforms to deliver measurable improvements in data discoverability, metadata quality, governance workflows, lineage, and semantic search. Building on structured metadata intake and validation, this role goes further by driving implementation-level outcomes: establishing catalog operating models, configuring metadata schemas and stewardship workflows, integrating technical metadata harvesting, and improving search relevance through semantic enrichment (e.g., taxonomy/ontology alignment, synonyms, knowledge-graph relationships, and catalog curation practices).

This role also leads hands-on evaluation and selection of catalog solutions (AoA) and supports pilots that prove capabilities such as semantic search, catalog population, and lineage visualization—producing evidence-based findings and decision-quality recommendations aligned to client priorities.

Key Responsibilities

1) Lead structured metadata intake, normalization, and enterprise baselining

  • Lead and perform in-person/virtual interviews and working sessions with system owners, data stewards, custodians, and SMEs to capture and normalize technical, business, operational, and security metadata into catalog-ready records.

  • Own completeness and consistency checks; drive discrepancy resolution and steward validation cycles; ensure records are ready for ingestion and ongoing maintenance.

2) Configure and operationalize catalog capabilities

  • Configure catalog structures and operating patterns: domains, asset types, metadata templates, certification/attestation workflows, stewardship roles, approval gates, and change control.

  • Define and operationalize metadata quality controls (required attributes, validation rules, refresh cadence, auditability) and establish an evidence trail for governance reporting.

  • Partner with engineering teams to implement integration patterns (connectors/APIs) sufficient to support ingestion/harvesting, lineage capture, and role-based access constructs.

3) Semantic search enablement

  • Lead and execute semantic search enablement across the catalog by implementing and curating:

    • taxonomy/ontology alignment, business glossary harmonization, synonym mapping, and semantic tagging protocols

    • search relevance improvements via metadata enrichment and curated relationships (e.g., knowledge-graph style linking)

    • measurement of search quality (precision/recall proxies, click-through, “time-to-find,” zero-result queries, adoption metrics)

  • Support evaluation and demonstration of semantic search and discovery maturity (natural language queries, faceted discovery, ranking relevance, and cross-domain linking) as required by client objectives.

4) Lead AoA / tool evaluation and selection

  • Lead structured evaluations of catalog solutions (discovery, glossary, lineage, workflow, UX, APIs, security/access, vendor support), including demo scripting, evidence capture, gap analysis, and comparative scoring inputs.

  • Produce decision-quality artifacts (evidence logs, comparison matrices, tradeoff synthesis, recommendation inputs) and facilitate stakeholder workshops to converge on priorities.

5) Governance pilots, lifecycle workflows, and federated readiness

  • Lead governance and lifecycle pilots: federated stewardship readiness (role clarity, escalation, audit traceability) and data product lifecycle workflows (publish/discover/change control/versioning/SLA/deprecate).

  • Support catalog population sequencing and lineage validation approaches that demonstrate traceability and refresh cadence across systems/data products.

6) Delivery leadership and stakeholder management

  • Own workplan execution for the metadata/catalog workstream, including milestone management, RAID tracking, and stakeholder coordination; coach junior analysts on intake standards and catalog hygiene.

  • Prepare and deliver crisp status reporting and executive-ready readouts focused on outcomes (coverage, quality, adoption, time-to-discover, and backlog reduction).

What You Will Need:

  • US Citizenship required

  • Must be able to OBTAIN and MAINTAIN a Federal or DoD “PUBLIC TRUST”. Candidates with an ACTIVE SECRET CLEARANCE OR PUBLIC TRUST or suitability are preferred.

  • ​8+ years of experience in data governance, metadata management, and/or enterprise data cataloging in complex environments (federal/regulated preferred).

  • Bachelor’s degree obtained.

  • Ability to meet the project’s client security and access requirements.

  • Demonstrated, hands-on experience delivering enterprise metadata baselines and operationalizing catalog workflows (intake, normalization, validation, publishing and stewardship sustainment).

  • Hands-on proficiency with one or more leading catalog/metadata platforms (e.g., Collibra, Alation, Microsoft Purview, Informatica Axon/EDC), including configuration of workflows / templates and support for integration/harvesting concepts.

  • Working knowledge of metadata standards and structuring approaches (e.g., ISO/IEC 11179, DCAT-US) and practical application of schema categories (technical, business, operational, security).

  • Demonstrated experience implementing or enabling semantic search / enhanced discovery in a catalog context (semantic tagging, glossary alignment, taxonomy/ontology, synonym management, and measurable relevance improvements).

  • Working proficiency with SQL and comfort with APIs/integration patterns sufficient to partner with engineering and interpret technical artifacts.

  • Delivery leadership experience in structured delivery (Agile preferred), including ownership of workstream plans, risks/issues, and stakeholder-ready documentation.

  • Tool certification/training (required): Vendor-provided certification or formal training credential in at least one enterprise data catalog product. Collibra / Alation / Purview / Informatica or comparable), with ability to demonstrate applied use in delivery.

  • Strong client-facing communication skills: ability to lead interviews/workshops, resolve definition disputes, and translate technical metadata into business-consumable forms.

What Would Be Nice to Have:

  • Led or co-led AoA / procurement support for catalog selection (criteria, weighting, demo scripts, evidence logs, scoring model, recommendation).

  • Bachelor’s degree in Information Systems, Computer Science, Data/Information Management, Engineering, or a related field (or equivalent practical experience).

  • Experience implementing or tuning catalog search/discovery features (facets, ranking signals, curated collections, certified datasets, knowledge-graph relationships, usage analytics).

  • Familiarity with federated cataloging patterns and metadata exchange concepts (synchronization, reconciliation checks, refresh cadence, versioning/auditability).

  • Experience in regulated environments (healthcare preferred) and with metadata classification concepts related to PHI/PII/CUI and audit-oriented documentation.

  • Relevant credentials (e.g., DAMA/CDMP) or formal training in data governance, metadata management, taxonomy/ontology, or information architecture.

  • Experience building interim metadata workflows in SharePoint/PowerApps/Power Automate or similar low-code tools used for capture/validation.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Position may be eligible for a discretionary variable incentive bonus

  • Parental Leave and Adoption Assistance

  • 401(k) Retirement Plan

  • Basic Life & Supplemental Life

  • Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts

  • Short-Term & Long-Term Disability

  • Student Loan PayDown

  • Tuition Reimbursement, Personal Development & Learning Opportunities

  • Skills Development & Certifications

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Emergency Back-Up Childcare Program

  • Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com.  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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