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Knowledge Management Jobs in Dallas, 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 ...

Director, Portfolio Management

Frisco, TX · On-site

$139 - $188/hr

  • Medical

  • Life

  • Retirement

TIAA is looking for a Director, Portfolio Management, to join our D&CX team. This is a hands-on leadership role responsible for building, operating, and continuously improving our portfolio ...

Director, Portfolio Management

Dallas, TX · On-site

$139K - $188K/yr

  • Medical

  • Life

  • Retirement

TIAA is looking for a Director, Portfolio Management, to join our D&CX team. This is a hands-on leadership role responsible for building, operating, and continuously improving our portfolio ...

Director, Portfolio Management

Dallas, TX · On-site

$139K - $188K/yr

  • Medical

  • Life

  • Retirement

TIAA is looking for a Director, Portfolio Management, to join our D&CX team. This is a hands-on leadership role responsible for building, operating, and continuously improving our portfolio ...

Proposal Content Manager

Dallas, TX · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The position combines proposal expertise, knowledge management, AI-enabled content optimization, and visual communication to support business development across ViaPath's integrated correctional ...

Showing results 21-40

Knowledge Management information

See Dallas, TX salary details

$28.7K

$47.9K

$68.8K

How much do knowledge management jobs pay per year?

As of Aug 19, 2026, the average yearly pay for knowledge management in Dallas, TX is $47,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,500.00 and $48,000.00 per year, depending on experience, location, and employer.

What is knowledge management?

A Knowledge Management (KM) job involves organizing, sharing, and optimizing an organization's knowledge and information assets. Professionals in this role develop strategies, systems, and processes to facilitate knowledge capture, storage, and retrieval for improved decision-making and efficiency. They often work with tools like document management systems, intranets, and collaboration platforms to ensure knowledge is accessible and usable. This role is crucial for fostering innovation, reducing redundancy, and enhancing overall organizational learning.

What are the typical daily responsibilities of a knowledge management professional?

A Knowledge Management professional is responsible for gathering, organizing, and maintaining company knowledge assets to ensure information is accessible and useful across teams. On a typical day, you might update internal documentation, lead knowledge-sharing sessions, analyze content usage to identify gaps, and collaborate with subject matter experts to capture tacit knowledge. You’ll also work closely with IT, HR, and other departments to optimize knowledge management systems and best practices. This role offers a dynamic mix of technical, analytical, and interpersonal tasks, which makes it integral to fostering a culture of continuous learning within the organization.

What are the key skills and qualifications needed to thrive in the knowledge management position, and why are they important?

To thrive in Knowledge Management, you need expertise in information organization, data analysis, and knowledge-sharing practices, often supported by a degree in information science or a related field. Familiarity with knowledge management systems (KMS), content management tools, and certifications such as Certified Knowledge Manager (CKM) are highly valued. Strong communication, collaboration, and problem-solving skills set standout professionals apart in this role. These abilities are crucial for effectively capturing, organizing, and disseminating organizational knowledge to drive innovation and efficiency.

How to become a knowledge management professional?

To become a knowledge management professional, individuals typically need a bachelor's degree in information science, business, or a related field, along with experience in data management, information systems, or organizational processes. Developing skills in knowledge sharing tools, content management systems, and communication is essential, and certifications such as Certified Knowledge Manager (CKM) can enhance credibility. Gaining practical experience through internships or project work in organizational knowledge environments is also valuable.

What are knowledge management jobs?

Knowledge management jobs involve organizing, storing, and sharing an organization's information and expertise to improve efficiency and decision-making. These roles often require skills in information systems, data analysis, and communication, and may involve managing knowledge bases, implementing content management systems, or developing strategies for knowledge sharing.

What do knowledge management professionals do?

Knowledge management professionals organize, analyze, and maintain an organization's information and knowledge assets to improve efficiency and decision-making. They develop systems, implement tools like databases or content management software, and often require skills in information technology, communication, and data analysis. Their work supports knowledge sharing and organizational learning across teams.

What skills do you need for knowledge management?

Knowledge management professionals need strong communication, organizational, and analytical skills to effectively capture, organize, and share information. Proficiency with knowledge management tools, databases, and content management systems is also important, along with a good understanding of business processes and change management principles.

What are the most commonly searched types of Knowledge Management jobs in Dallas, TX?

The most popular types of Knowledge Management jobs in Dallas, TX are:

What are popular job titles related to Knowledge Management jobs in Dallas, TX?

For Knowledge Management jobs in Dallas, TX, the most frequently searched job titles are:

What cities near Dallas, TX are hiring for Knowledge Management jobs?

Cities near Dallas, TX with the most Knowledge Management job openings:

Infographic showing various Knowledge Management job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $47,875 per year, or $23 per hour.

Platform Product Manager, Ontology & Knowledge Graph

Vizient, Inc.

Irving, TX • On-site

$77K/yr

Full-time

Posted 16 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.