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Knowledge Manager Jobs in Prosper, TX (NOW HIRING)

Support knowledge graph development and integration with enterprise data platforms, including ... Manage ontology and semantic model changes through established version control, review, testing ...

New

Lead Knowledge Management strategy and migration activities, including taxonomy, content standards, search optimization, governance, lifecycle management, and KCS adoption. Support Incident, Problem ...

Senior Program Manager

Dallas, TX ยท On-site

$108K - $108K/yr

The ideal candidate will bring deep experience managing major airport capital programs, strong knowledge of FAA standards and airport operational requirements, and proven ability to lead cross ...

Senior Program Manager

Dallas, TX ยท Hybrid

$108K - $108K/yr

The ideal candidate will bring deep experience managing major airport capital programs, strong knowledge of FAA standards and airport operational requirements, and proven ability to lead cross ...

Showing results 41-60

Knowledge Manager information

See Prosper, TX salary details

$39.8K

$78.9K

$112.6K

How much do knowledge manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for knowledge manager in Prosper, TX is $78,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $94,800.00 per year, depending on experience, location, and employer.

What is a knowledge manager?

A knowledge manager ensures that company policies, strategies, and initiatives are properly documented and accessed by authorized users. These professionals support process improvement and decision-making and may work in a variety of industries. As a knowledge manager, your duties involve organizing a knowledge database, analyzing the effectiveness of knowledge management programs, and acting as mediator to answer client and staff questions about related products and practices. To pursue a career as a knowledge manager, you typically need a degree in business, information technology, or a related field and relevant work experience. Additional qualifications include interpersonal, organizational, and project management skills, as well as attention to detail and resourcefulness.

What does a knowledge manager do?

A Knowledge Manager is responsible for organizing, managing, and optimizing the knowledge assets within an organization. They develop strategies and systems for capturing, storing, sharing, and utilizing information to improve efficiency, collaboration, and decision-making. Knowledge Managers often work with digital platforms, facilitate training, and encourage a culture of knowledge sharing among employees. Their role is crucial in ensuring that valuable organizational knowledge is preserved and accessible to those who need it.

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

To thrive as a Knowledge Manager, you need expertise in information management, content curation, and organizational strategy, often supported by a degree in library science, information systems, or a related field. Familiarity with knowledge management systems (KMS), collaboration platforms like SharePoint or Confluence, and relevant certifications such as Certified Knowledge Manager (CKM) are typically required. Strong communication, analytical thinking, and stakeholder engagement skills help drive knowledge-sharing initiatives and foster a culture of continuous learning. These skills ensure that organizational knowledge is efficiently captured, shared, and utilized, leading to improved decision-making and innovation.

How does a knowledge manager typically collaborate with other departments to ensure effective knowledge sharing?

Knowledge Managers work closely with various departments such as IT, HR, and operations to identify knowledge gaps, develop systems for information sharing, and promote best practices. They often facilitate workshops, create knowledge bases, and establish guidelines to ensure that valuable organizational knowledge is accessible and up-to-date. Regular interaction with team leaders and subject matter experts is essential to capture insights and tailor knowledge management strategies that support business objectives.

What is the difference between Knowledge Manager vs Content Specialist?

AspectKnowledge ManagerContent Specialist
Required CredentialsBachelor's degree, certifications in knowledge management or information systemsBachelor's degree, certifications in content creation or digital marketing
Work EnvironmentCorporate, IT, or organizational settings focusing on information systemsMarketing, media, or digital teams creating and managing content
Employer & Industry UsageUsed across industries to manage organizational knowledge assetsCommon in marketing, media, and digital content industries
Search & Comparison IntentUnderstanding roles related to organizational knowledgeComparing content creation and management roles

The Knowledge Manager focuses on organizing, maintaining, and improving organizational knowledge assets, often working with information systems and internal data. In contrast, the Content Specialist primarily creates, edits, and manages digital content for marketing or communication purposes. While both roles require strong communication skills and relevant certifications, their work environments and objectives differ significantly.

How much do knowledge managers make in the US?

Knowledge managers in the US typically earn a median annual salary of around $80,000 to $110,000, depending on experience, industry, and location. Senior roles or those with specialized skills in information systems or content management may earn higher salaries, often exceeding $120,000 annually.

What is the career path of a knowledge manager?

A knowledge manager typically starts in roles such as information specialist or librarian, then advances to senior knowledge management positions, team lead, or director. Career progression often involves developing expertise in information systems, data management, and collaboration tools, with certifications like CKM (Certified Knowledge Manager) supporting advancement.

What skills do you need to be a knowledge manager?

Knowledge managers need strong communication, organizational, and analytical skills to effectively organize and share information. They should be proficient with knowledge management tools and technologies, such as content management systems and collaboration platforms, and often require a background in information science, library science, or related fields.

What job categories do people searching Knowledge Manager jobs in Prosper, TX look for?

The top searched job categories for Knowledge Manager jobs in Prosper, TX are:

What cities near Prosper, TX are hiring for Knowledge Manager jobs?

Cities near Prosper, TX with the most Knowledge Manager job openings:

Infographic showing various Knowledge Manager job openings in Prosper, TX as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $78,866 per year, or $37.9 per hour.

Senior Ontology and Knowledge Engineer

Vizient

Irving, TX โ€ข On-site

$102K - $179K/yr

Full-time

Posted 3 days ago

New


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 develop and maintain semantic ontologies and models that establish consistent business meaning and enable high-quality, interoperable data across the organization. You will translate business and data concepts into scalable semantic models, support knowledge graph development and integration, and collaborate with product, data, and business clients to ensure semantic assets are documented, governed, validated, and production-ready. You will contribute to the semantic foundation that enables advanced analytics, data products, and AI-enabled solutions.

Responsibilities:

  • Design, develop, and maintain logical, extensible ontologies, vocabularies, and semantic models aligned with enterprise concepts and analytics and AI needs.
  • Translate client use cases into competency questions, semantic requirements, definitions, relationships, and implementable semantic models.
  • Collaborate with subject matter experts and technical teams to refine concepts, relationships, modeling patterns, and semantic standards.
  • Support knowledge graph development and integration with enterprise data platforms, including semantic-to-data mapping, graph and triplestore implementation, and SPARQL query development.
  • Perform logical validation, constraint checks, and quality controls to maintain the accuracy, consistency, and interoperability of semantic assets.
  • Manage ontology and semantic model changes through established version control, review, testing, documentation, and release practices.
  • Develop and maintain ontology documentation, modeling patterns, standards, and usage guidance for technical and non-technical audiences.
  • Partner with data engineering, platform, product, analytics, and AI teams to align knowledge representation with enterprise data systems and implementation requirements.
  • Apply foundational and top-level ontologies and industry standards to enterprise use cases while balancing scalability, extensibility, and usability.
  • Develop automation, testing, and semantic pipeline integrations using scripting, programming, and software engineering practices.

Qualifications:

  • Relevant degree preferred.
  • 5 or more years of relevant experience required.
  • Hands-on knowledge of Semantic Web standards and technologies, including RDF, OWL, SKOS, SPARQL, and SHACL.
  • Experience with graph databases and/or triplestores, including semantic modeling, schema design, and query performance considerations in production environments.
  • Experience integrating disparate datasets through common vocabularies, semantic-to-data mapping, and validation.
  • Proficiency with ontology development tools and workflows such as Protege, TopBraid, PoolParty, Stardog, or similar technologies.
  • Experience applying foundational or top-level ontologies and standards such as BFO, DOLCE, Common Core Ontologies, OBO Foundry, or similar frameworks to enterprise needs.
  • Working knowledge of Python, Java, or similar programming languages to support automation, testing, and semantic pipeline integration.
  • Experience applying software engineering practices to semantic assets, including Git-based version control, review workflows, automated validation and testing, and CI/CD release practices.
  • Strong analytical, problem-solving, and communication skills, with the ability to explain complex semantic concepts clearly to technical and non-technical clients.

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 $102,400.00 to $179,000.00.

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.