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Metadata Taxonomy Jobs in Dallas, TX (NOW HIRING)

DuraServ Corp

LMS Administrator

Coppell, TX · On-site

Maintain the enterprise learning taxonomy, catalog structure, metadata standards, functional skills architecture, and content governance framework -- your structure determines whether learners can ...

ViaPath Technologies

Proposal Content Manager

Dallas, TX · On-site +1

Maintain repository taxonomy, metadata, folder structures, naming conventions, keywords, and search optimization to improve content retrieval. * Load, categorize, and organize newly approved proposal ...

ViaPath Technologies

Proposal Content Manager

Dallas, TX · On-site +1

Maintain repository taxonomy, metadata, folder structures, naming conventions, keywords, and search optimization to improve content retrieval. * Load, categorize, and organize newly approved proposal ...

ViaPath Technologies

Proposal Content Manager

Dallas, TX · On-site +1

Maintain repository taxonomy, metadata, folder structures, naming conventions, keywords, and search optimization to improve content retrieval. * Load, categorize, and organize newly approved proposal ...

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Showing results 21-40

All JobsMetadata Taxonomy JobsMetadata Taxonomy Jobs in Dallas, TX

Metadata Taxonomy information

See Dallas, TX salary details

$8

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$28

How much do metadata taxonomy jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for metadata taxonomy in Dallas, TX is $15.57, according to ZipRecruiter salary data. Most workers in this role earn between $11.63 and $17.36 per hour, depending on experience, location, and employer.

What is a metadata taxonomy?

Metadata Taxonomy jobs involve organizing, categorizing, and maintaining structured classification systems (taxonomies) and metadata frameworks to help organizations manage their information efficiently. Professionals in this field develop and implement systems that define how data is described, tagged, and retrieved, ensuring consistency and improving discoverability across digital assets. These roles are crucial in industries like libraries, e-commerce, publishing, and technology, where managing vast amounts of information is essential. Responsibilities may include designing taxonomies, establishing metadata standards, and collaborating with IT and content teams to support information architecture.

How does a metadata taxonomy professional typically collaborate with other departments to ensure consistent data classification across an organization?

Metadata Taxonomy professionals frequently work with teams such as IT, content management, product, and data analytics to develop and maintain unified classification systems. They facilitate workshops and meetings to align stakeholders on taxonomy structures, resolve ambiguities, and gather feedback on organizational needs. This collaborative approach ensures that metadata standards are consistently applied, making information easier to find and manage across platforms. Effective communication and cross-functional teamwork are essential aspects of this role.

What are the key skills and qualifications needed to thrive as a metadata taxonomist, and why are they important?

To thrive as a Metadata Taxonomist, you need a deep understanding of information science, taxonomy design, metadata standards, and often a degree in library science or a related field. Familiarity with taxonomy management tools (such as PoolParty or TopBraid), content management systems, and metadata schemas like Dublin Core or schema.org is typically required. Excellent attention to detail, strong analytical thinking, and effective communication skills help collaborate with stakeholders and ensure consistent data organization. These skills are crucial for creating clear, scalable classification systems that optimize information retrieval and support business objectives.

What is the difference between Metadata Taxonomy vs Metadata Specialist?

AspectMetadata TaxonomyMetadata Specialist
Primary RoleDevelops and organizes classification systems for dataImplements and manages metadata standards and schemas
Required SkillsKnowledge of taxonomy development, data organizationExpertise in metadata standards, data management tools
Work EnvironmentData management teams, information architectureData governance, digital asset management
Common UsageCreating taxonomies for content categorizationApplying metadata to improve data retrieval

The main difference is that Metadata Taxonomy focuses on designing classification systems for data, while Metadata Specialist implements and manages metadata standards. Both roles are essential in data management but serve different functions within the data lifecycle.

What are popular job titles related to Metadata Taxonomy jobs in Dallas, TX?

For Metadata Taxonomy jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Metadata Taxonomy jobs in Dallas, TX look for?

The top searched job categories for Metadata Taxonomy jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Metadata Taxonomy jobs?

Cities near Dallas, TX with the most Metadata Taxonomy job openings:

Metadata Taxonomy jobs near you
Infographic showing various Metadata Taxonomy job openings in Dallas, TX as of August 2026, with employment types broken down into 86% Full Time, 4% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $32,379 per year, or $15.6 per hour.

Platform Product Manager, Ontology & Knowledge Graph

Vizient

Irving, TX

$77K/yr

Full-time

Posted 15 days ago

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary:

In this role, you will independently own defined capabilities within the Knowledge & Semantic Platform that enable AI-powered products and consistent intelligence delivery across the organization. You will partner closely with engineering and internal clients to define and evolve the operating layer beneath the platform, including ontology, knowledge graph, metadata, entity relationships, taxonomy, and semantic models. You will manage the product backlog and roadmap for assigned platform capabilities while working in an AI-first product delivery model, leveraging AI tools to accelerate discovery, requirements development, communication, validation, and delivery support.

Responsibilities:

  • Own the product backlog and near-term roadmap for assigned Knowledge & Semantic Platform capabilities, including ontology, knowledge graph, taxonomy, metadata management, semantic modeling, and related platform services.
  • Conduct discovery with internal clients to understand business concepts, workflow needs, data relationships, AI use cases, and opportunities to improve semantic consistency and intelligence delivery.
  • Define product requirements, user stories, acceptance criteria, semantic models, entity relationships, metadata standards, prompt and context artifacts, and validation approaches that enable scalable AI-driven solutions.
  • Partner with engineering leads, architects, AI Delivery, data engineering, security, and design teams to translate business concepts into reusable semantic platform capabilities.
  • Balance delivery priorities across internal client needs, engineering capacity, architecture direction, governance requirements, data stewardship practices, and emerging AI-assisted development opportunities.
  • Collaborate with teams using agentic coding tools, AI-assisted development environments, and AI-supported testing, documentation, and validation workflows to improve delivery quality and speed.
  • Support implementation planning, release readiness, documentation, validation, and adoption activities while promoting consistent semantic standards and reusable platform capabilities.
  • Use metrics, operational insights, client feedback, and AI-supported synthesis to refine backlog priorities and continuously improve ontology, metadata quality, semantic relationships, and platform adoption.
  • Create guidance, demonstrations, communications, and enablement resources that help internal teams effectively leverage semantic platform capabilities, knowledge graph assets, and AI-first development practices.
  • Identify opportunities to improve metadata quality, semantic consistency, data stewardship, self-service, and reusable knowledge assets that enhance AI-enabled products and retrieval-augmented generation (RAG) capabilities.

Qualifications:

  • Relevant degree preferred.
  • 2 or more years of relevant experience required.
  • Typically possesses 3-5 years of relevant experience in product management, product ownership, enterprise platforms, knowledge management, semantic technologies, AI-enabled products, or platform enablement.
  • Experience working with ontology, knowledge graphs, taxonomy, semantic modeling, metadata management, graph databases, or related knowledge management technologies preferred.
  • Experience partnering with engineering and data teams to translate business concepts into scalable semantic models, entity relationships, and reusable platform capabilities.
  • Familiarity with AI-enabled applications, retrieval-augmented generation (RAG), large language models, or other AI technologies that leverage structured knowledge and semantic data preferred.
  • Demonstrated experience using AI tools such as Codex/ChatGPT, Claude Code/Co-Work, GitHub Copilot/Copilot Studio, and emerging agentic coding environments to improve product discovery, requirements development, documentation, analysis, and communication.
  • Understanding of data stewardship, metadata governance, healthcare data concepts, and semantic consistency principles preferred.
  • Strong analytical, communication, collaboration, and stakeholder management skills with the ability to drive adoption, reuse, quality, and measurable business value across platform capabilities.

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $77,400.00 to $135,400.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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