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Knowledge Operations Management Jobs (NOW HIRING)

Ryder

Operations Management Trainee

Saint Charles, IL · On-site

$58K/yr

Strong Parts and Truck Repair knowledge. Bachelor's Degree Required* Summary The Operations Management Trainee (OMT) is an 18-month structured and comprehensive training program to develop leadership ...

Ryder

Operations Management Trainee

Baton Rouge, LA · On-site

$55K/yr

... The Operations Management Trainee (OMT) is an 18 month structured and comprehensive training ... Strong PC knowledge/skills to include spreadsheet and word processing software packages Advanced ...

Ryder

Operations Management Trainee

Indianapolis, IN · On-site

Summary The Operations Management Trainee will support the shop management process and assist in ... Strong PC knowledge/skills to include spreadsheet and word processing software packages Advanced ...

Ryder

Operations Management Trainee

Henrico, VA

Summary The Operations Management Trainee will support the shop management process and assist in ... Strong PC knowledge/skills to include spreadsheet and word processing software packages Advanced ...

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Knowledge Operations Management information

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$31K

$63.5K

$118.5K

How much do knowledge operations management jobs pay per year?

As of Jun 30, 2026, the average yearly pay for knowledge operations management in the United States is $63,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $77,500.00 per year, depending on experience, location, and employer.

What are the 5 C's of knowledge management?

The 5 C's of knowledge management are Culture, Content, Collaboration, Communication, and Change. These principles help organizations effectively create, share, and utilize knowledge, which is essential for roles like Knowledge Operations Management. Understanding these elements supports the development of efficient knowledge systems and continuous improvement efforts.

What kind of jobs can I get with an operations management degree?

With a degree in operations management, you can pursue roles such as operations manager, supply chain manager, logistics coordinator, production supervisor, or quality assurance manager. These positions typically require skills in process optimization, data analysis, and familiarity with tools like ERP systems, often involving leadership and problem-solving responsibilities.

What is the difference between Knowledge Operations Management vs Knowledge Management Specialist?

AspectKnowledge Operations ManagementKnowledge Management Specialist
Primary FocusOverseeing the organization, storage, and dissemination of knowledge assets across departmentsDeveloping and implementing strategies to capture, share, and utilize knowledge within an organization
ResponsibilitiesManaging knowledge systems, workflows, and operational processesCreating knowledge repositories, training staff, and promoting best practices
CredentialsOften requires certifications in knowledge management or information systemsTypically holds degrees or certifications in knowledge management or related fields
Work EnvironmentOperational settings, often within IT, HR, or organizational development teamsStrategic roles within knowledge or information management teams

Knowledge Operations Management focuses on the operational aspects of managing organizational knowledge, ensuring systems and processes run smoothly. In contrast, Knowledge Management Specialists concentrate on developing strategies and content to enhance knowledge sharing. Both roles are vital for effective knowledge utilization but differ in scope and responsibilities.

What is knowledge operations management?

Knowledge operations management involves overseeing the processes and systems used to create, organize, store, and distribute organizational knowledge. It often includes managing information workflows, implementing knowledge management tools, and ensuring data accuracy to support decision-making and efficiency within an organization.

How does a Knowledge Operations Management professional typically collaborate with other departments within an organization?

Knowledge Operations Management professionals play a central role in facilitating communication and information flow across departments. They often work closely with IT, HR, and operational teams to develop and maintain knowledge databases, ensure that documentation is accurate and accessible, and train staff on best practices for knowledge sharing. Effective collaboration is essential, as these professionals must balance the needs of various teams while maintaining data integrity and confidentiality. Regular meetings, cross-functional projects, and feedback loops are common methods used to align knowledge management strategies with organizational goals.

What are the key skills and qualifications needed to thrive as a Knowledge Operations Manager, and why are they important?

To thrive as a Knowledge Operations Manager, you need strong organizational skills, a firm grasp of information management principles, and often a background in business administration or information systems. Familiarity with knowledge management platforms, collaborative tools (like SharePoint or Confluence), and relevant certifications such as Certified Knowledge Manager (CKM) are typically required. Exceptional communication, analytical thinking, and change management abilities help individuals excel in facilitating knowledge sharing and process improvements. These skills are essential for ensuring that valuable organizational knowledge is efficiently captured, organized, and leveraged to support business goals.

What is a career in knowledge management?

A career in knowledge management involves developing and maintaining systems to capture, organize, and share an organization's information and expertise. Professionals in this field often work with tools like content management systems and focus on improving information flow, collaboration, and decision-making within organizations. Skills in data analysis, communication, and familiarity with knowledge management software are typically important for success.
More about Knowledge Operations Management jobs
What job categories do people searching Knowledge Operations Management jobs look for? The top searched job categories for Knowledge Operations Management jobs are:
Knowledge Operations Management jobs near you
Infographic showing various Knowledge Operations Management job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $63,456 per year, or $30.5 per hour.
Knowledge Manager - AI Systems

Knowledge Manager - AI Systems

Electronic Arts Inc.

Austin, TX • On-site

Full-time

Medical, Retirement, PTO

Posted 18 days ago

Key responsibilities

  • Define and evolve the knowledge management strategy and structure for AI-driven player support.

  • Own the knowledge lifecycle including intake, creation, validation, publishing, versioning, monitoring, and deprecation.

  • Partner with cross-functional teams to ensure knowledge is structured, governed, accurate, and optimized for both human and machine consumption.

Job description

Description & Requirements
Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.
Knowledge Manager - AI Systems
18 Month Temporary Contract
We are seeking a Knowledge Management Lead to define, operate, and scale the knowledge management capabilities that power AI-driven player support and fan experiences.
This role sits at the intersection of product, content, operations, and technology . You will partner with Product, Engineering, Content, Fan Care, and Studio teams to ensure knowledge is structured, governed, accurate, and optimized for both human and machine consumption.
The role is responsible for treating knowledge as a core dependency for AI systems : machine-readable, versioned, traceable, reusable, and safe for real-time retrieval and execution. You will help define the strategy while also operating the workflows, standards, and governance needed to manage knowledge at scale.
This role reports to the Director of Product for Self-Service Fan Care.
Key responsibilities
1. Knowledge strategy and structure
  • Define and evolve the knowledge management strategy for AI-driven player support.
  • Translate product and AI needs into knowledge models, schemas, metadata, taxonomies, and system requirements.
  • Define knowledge structure, metadata, taxonomy, and governance requirements that enable reliable search, retrieval, API access, and AI consumption.
  • Ensure knowledge is modular, reusable, and structured for both human and machine consumption.
2. Knowledge operations and lifecycle management
  • Own the knowledge lifecycle: intake, creation, validation, publishing, versioning, monitoring, and deprecation.
  • Operate and improve workflows for knowledge updates, quality control, and real-time change management.
  • Identify knowledge gaps, duplication, conflicts, and stale content, then drive resolution with owning teams.
  • Drive the creation and curation of accurate, structured, AI-ready knowledge from priority I've shared source materials and player signals in partnership with other teams.
3. AI readiness, retrieval, and optimization
  • Partner with Product and Engineering to improve how AI systems retrieve, assemble, and use knowledge.
  • Diagnose AI output issues by tracing failures back to gaps in knowledge structure, quality, coverage, or governance.
  • Improve retrieval performance, including relevance, precision, recall, freshness, and latency.
  • Contribute to evaluation frameworks that connect knowledge quality to AI performance and player outcomes.
4. Governance, quality, and risk controls
  • Establish governance models for ownership, approvals, access controls, certification, and escalation.
  • Implement standards for versioning, traceability, auditability, freshness, and source authority.
  • Define controls that reduce risk from outdated, conflicting, unapproved, or misapplied knowledge.
  • Ensure policy, instructional, and factual knowledge are clearly separated and enforceable for AI systems.
5. Cross-functional enablement
  • Drive cross-functional adoption of AI-ready knowledge standards, including structured authoring, tagging, validation, ownership, and lifecycle governance.
  • Enable knowledge contributors to create, curate, and maintain reusable knowledge that improves AI accuracy, trust, and player experience.
Required qualifications
  • 4-6+ years in Knowledge Management, Content Systems, Content Operations, Information Architecture, or related roles.
  • Experience operating enterprise knowledge, CMS, or content systems in digital product environments.
  • Strong understanding of metadata, taxonomy, ontology, structured content, and information architecture.
  • Experience with knowledge lifecycle management, governance workflows, and content quality standards.
  • Understanding of search, retrieval, RAG, or AI knowledge consumption patterns.
  • Strong analytical and systems-thinking skills, especially in diagnosing how information flows through digital systems.
  • Experience working cross-functionally with Product, Engineering, Content, Operations, and business stakeholders.
Preferred qualifications
  • Experience supporting AI, conversational, agentic, or automation-based systems.
  • Familiarity with RAG, GraphRAG, vector search, knowledge graphs, semantic layers, or API-based knowledge access.
  • Experience with traceability, auditability, versioning, and governance for AI or regulated systems.
  • Experience scaling knowledge practices across multiple teams, regions, products, or content sources.
  • Experience working with multimodal knowledge, including structured data, text, media, and community-generated signals.

About Electronic Arts
We're proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.
We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.
Electronic Arts is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. We will also consider employment qualified applicants with criminal records in accordance with applicable law. EA also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
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