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Knowledge Manager Jobs in Irving, TX (NOW HIRING)

Knowledge is at the heart of how CBRE's People Services operates. The Knowledge & Enablement ... Manage the full content lifecycle including versioning, retirement and archival, responding to ...

Senior Knowledge Engineer

Dallas, TX · On-site

$103K - $142K/yr

Metadata management and data governance Programming & Tooling * Python (primary); graph libraries ... Knowledge Graph technologies (e.g., RDF, SPARQL, Gremlin, LPG, SHACL, RDFS) * 2+ years of ...

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Knowledge Manager information

See Irving, TX salary details

$41.8K

$82.7K

$118.1K

How much do knowledge manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for knowledge manager in Irving, TX is $82,695.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,400.00 and $99,400.00 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 Irving, TX look for?

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

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

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

Infographic showing various Knowledge Manager job openings in Irving, TX as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,695 per year, or $39.8 per hour.

Platform Product Manager, Ontology & Knowledge Graph

Vizient, Inc.

Irving, TX • On-site

$77K/yr

Full-time

Re-posted 4 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.