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Metadata Taxonomy Jobs in Austin, TX (NOW HIRING)

Qorvo, Inc.

Content Operations Specialist

Austin, TX · Remote

This role ensures digital assets are organized, tagged, and maintained in accordance with established metadata and taxonomy standards.The DAM serves as a central hub and source of truth for digital ...

Cella

Content Strategist

Austin, TX

... taxonomy application and metadata best practices.Ontology & Knowledge Graph Engineering • Design and implement ontologies using Semantic Web standards (RDF/RDFS, OWL, SKOS) to model domain ...

AtOrchard LLC

Benthic Biologist

Austin, TX · On-site

Marine Taxonomy * Habitat Characterization * Biological Data Analysis * Ecological Assessment * Metadata Management * Scientific Writing * Technical Presentations Compensation: The anticipated salary ...

CBRE

Procurement Consultant

Austin, TX · On-site

Ensure each entry is complete and accurate, capturing all required metadata including requestor ... taxonomy and naming conventions. * Cross-reference executed documents to the appropriate project ...

All JobsMetadata Taxonomy JobsMetadata Taxonomy Jobs in Austin, TX

Metadata Taxonomy information

See Austin, TX salary details

$8

$15

$28

How much do metadata taxonomy jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for metadata taxonomy in Austin, TX is $15.60, according to ZipRecruiter salary data. Most workers in this role earn between $11.68 and $17.40 per hour, depending on experience, location, and employer.

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 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.

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.

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 popular job titles related to Metadata Taxonomy jobs in Austin, TX? For Metadata Taxonomy jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Metadata Taxonomy jobs in Austin, TX look for? The top searched job categories for Metadata Taxonomy jobs in Austin, TX are:
What cities near Austin, TX are hiring for Metadata Taxonomy jobs? Cities near Austin, TX with the most Metadata Taxonomy job openings:
Metadata Taxonomy jobs near you
Infographic showing various Metadata Taxonomy job openings in Austin, TX as of August 2026, with employment types broken down into 85% Full Time, 5% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $32,444 per year, or $15.6 per hour.

Director, Product Management, Content Strategy & AI Readiness

Wolters Kluwer

Austin, TX • On-site, Remote

$166K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Wolters Kluwer rating

9.0

Company rating: 9.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies

Job description

Shape how trusted clinical content evolves for the next generation of AI-enabled clinical decision support.

At Wolters Kluwer Health, the UpToDate suite is grounded in rigorous, evidence-based clinical knowledge. As AI changes how clinicians search, interpret, and apply that knowledge, our content strategy mustevolveso contentremainsauthoritative, traceable, structured, and ready for responsible AI-powered experiences.

As Director, Product Management, Content Strategy & AI Readiness, you will be a senior individualcontributorproduct leader responsible for defining product strategy related to content standards, structure, metadata, feedback loops, and AI readiness. You will partneracrossProduct, Editorial, Clinical, Editorial Operations, Engineering, AI, and Analytics to translate content needs into clear priorities, platform requirements, and measurable outcomes. This role helps ensure clinician editors and contributors have workflows and capabilities that allow them to focus on high-value work: clinical insight, evidence synthesis, content creation, and expert curation.

What You'll Do

  • Define the content product strategyrequiredto support responsible AI-enabled clinical decision support experiences.

  • Establish roadmap priorities for improving content readiness for search, retrieval, answer generation, source grounding, and user workflows.

  • Translate content standards, quality expectations, editorial needs, and AI-readiness requirements into scalable product priorities and platform requirements.

  • Lead the evolution of content rubrics and standards in partnership with clinical, editorial, product, and AI teams.

  • Build feedback loops thatidentifycontent gaps, quality issues, user pain points, and opportunities to improve content usefulness.

  • Define requirements for content structure, tagging, taxonomy, metadata, source traceability, and authoring workflows.

  • Partner with Editorial Operations, editorial platform, and engineering teams toidentifyworkflow and tooling needs that make structured content creation, curation, review, and maintenance easier and more scalable.

  • Drive alignment across product, editorial, clinical, engineering, AI, commercial, and leadership stakeholders.

  • Communicate content strategy, priorities, tradeoffs, and impact clearly to senior and executive stakeholders.

What You'll Bring

  • 10+ years of experience in product management, content product, platform product, editorial strategy, knowledge management, taxonomy, healthcare content, or related areas.

  • Demonstrated ability to set product strategy, influence executive stakeholders, and lead complex cross-functional initiatives as an individual contributor.

  • Strong understanding of content quality, editorial workflows, structured content, metadata, taxonomy, or knowledge systems.

  • Ability to translate complex content and platform needs into product requirements, prioritization frameworks, and measurable outcomes.

  • Strong analytical skills and ability to define metrics, feedback loops, and decision frameworks.

  • Excellent communication and storytelling skills across product, editorial, clinical, technical, commercial, and executive audiences.

Preferred Background

  • Experience with healthcare, clinical, regulatory, orprofessional-informationcontent.

  • Experience with AI-enabled search, question answering, retrieval, content platforms, editorial tooling, or knowledge graphs.

  • Familiarity with responsible AI, source grounding, content evaluation, or human-in-the-loop review workflows.

What Success Looks Like

  • Content strategy is clearly connected to product quality, clinician trust, customer value, and responsible AI.

  • Cross-functional teams are aligned on the content capabilities and workflow improvements needed to support AI-ready clinical knowledge.

  • Content standards and rubrics become clearer, more measurable, and easier to operationalize.

  • Content is increasingly structured andmaintainedin ways that improve AI-enabled product experiences.

  • Clinician editors and contributors have clearer workflows and enabling capabilities that help them focus on expert judgment, evidence synthesis, content quality, and clinical insight.

#LI- Hybrid

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$166,900.00 - $298,300.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

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