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Knowledge Management Analyst Jobs in California (NOW HIRING)

Management Analyst

Hemet, CA · On-site

$83K - $111K/yr

Successful performance requires a thorough knowledge of governmental operational procedures and the ... The Management Analyst researches and analyzes data for complex projects that may cross departments ...

Management Analyst III

Sacramento, CA · On-site

$8.3K - $11K/mo

Knowledge of: Principles and practices of management and supervision. Principles of mathematical and statistical analysis, preparation and presentation. Research techniques. Principles and practices ...

Qualification Guidelines KNOWLEDGE REQUIRED Federal, State and local laws, rules and regulations ... Organizational and management practices as applied to the analysis and evaluation of programs ...

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Showing results 1-20

Knowledge Management Analyst information

See California salary details

$42.4K

$83.8K

$130.3K

How much do knowledge management analyst jobs pay per year?

As of Aug 17, 2026, the average yearly pay for knowledge management analyst in California is $83,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $100,700.00 per year, depending on experience, location, and employer.

What is a knowledge management analyst?

Knowledge Management Analysts are professionals responsible for organizing, managing, and optimizing an organization’s information and knowledge resources. They develop systems and processes to capture, store, and share knowledge effectively across teams, ensuring that valuable information is easily accessible and used to drive business decisions. Their work often involves designing knowledge bases, implementing best practices, and using technology to facilitate collaboration and information sharing throughout the company.

What skills and qualifications are needed to be a knowledge management analyst?

To thrive as a Knowledge Management Analyst, you need a strong background in information management, data analysis, and often a degree in library science, information systems, or a related field. Familiarity with knowledge management systems (like SharePoint or Confluence), content management tools, and data visualization software is typically required. Excellent communication, collaboration, and problem-solving skills help you effectively capture and disseminate organizational knowledge. These skills are essential for optimizing information flow, supporting decision-making, and driving organizational learning and efficiency.

What challenges do knowledge management analysts face when implementing new knowledge-sharing systems?

Knowledge Management Analysts often encounter challenges such as resistance to change from employees, inconsistent documentation practices, and difficulties in integrating new systems with existing workflows. Overcoming these obstacles typically involves conducting thorough needs assessments, offering targeted training, and working closely with stakeholders to ensure buy-in. Successfully addressing these challenges not only improves knowledge sharing and collaboration but also positions analysts for greater responsibility in future projects.

What is the difference between Knowledge Management Analyst vs Data Analyst?

AspectKnowledge Management AnalystData Analyst
Required CredentialsBachelor's degree in information science, business, or related field; certifications in knowledge management or information systemsBachelor's degree in statistics, mathematics, or related field; certifications in data analysis or data visualization
Work EnvironmentCorporate offices, knowledge centers, or consulting firmsBusiness, finance, healthcare, or tech industries; often in office settings
Employer & Industry UsageUsed by organizations focusing on information sharing, knowledge repositories, and process improvementUsed across industries for data-driven decision making and reporting

While both roles involve working with information, a Knowledge Management Analyst focuses on organizing, maintaining, and improving knowledge resources within an organization. In contrast, a Data Analyst primarily analyzes data sets to uncover insights and support decision-making. Both roles require strong analytical skills and familiarity with information systems, but their core functions and industry applications differ.

What are popular job titles related to Knowledge Management Analyst jobs in California?

For Knowledge Management Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Knowledge Management Analyst jobs in California look for?

The top searched job categories for Knowledge Management Analyst jobs in California are:

What cities in California are hiring for Knowledge Management Analyst jobs?

Cities in California with the most Knowledge Management Analyst job openings:

Infographic showing various Knowledge Management Analyst job openings in California as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $83,848 per year, or $40.3 per hour.

Manager, Knowledge Management Solutions

LinkedIn

Sunnyvale, CA • On-site

$171K/yr

Full-time

Posted 23 days ago


LinkedIn rating

9.3

Company rating: 9.3 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

14th of 244 rated software companies


Job description

Company Description
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
Job Description
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
This role is based in either Sunnyvale, San Francisco, Mountain View, New York, or Omaha.
The Knowledge Management Solutions (KMS) team at LinkedIn is responsible for creating and delivering self-service content for LinkedIn's members, customers and employees. The team creates instructional, procedural, and technical content using both traditional and AI-powered methods. This content is made available externally through LinkedIn's help centers, virtual chat assistants, and in-product experiences (including those powered by AI/GAI). Employees also use this content internally through enterprise search systems and CRMs.
We are seeking a talented and passionate Manager, Knowledge Management Solutions to join the team responsible for the content strategy and authoring of these self-service resources. This people leader role sits at the center of talent development, team strategy, and execution towards LinkedIn's self-service strategy. The scope of this role includes interaction with teams in different functions and regions, requiring a strong ability to communicate effectively and understand the different needs of global customers and business partners.
As a Manager, Knowledge Management Solutions you will directly manage a team of Content Strategists. You will supervise the efforts of the team to develop content strategies that support multiple lines of business, including ensuring high-quality and high-performing content and driving business partner relationships within your team's focus areas. Talent is our top priority, and you will be responsible for enabling and coaching your team to drive business results, adapt to change, and innovate. You will work across the team and other functions to ensure long-term scalability and ROI of LinkedIn's content ecosystem as we transition to AEM Guides and expand AI-driven content creation and self-service experiences.
Key Responsibilities
  • Hire, manage, and develop a mid-size team that may span across multiple areas of expertise and/or locations
  • Partner and work closely with peer managers and cross-functional groups to connect strategy to vision and align team goals, priorities, and roadmap to business needs
  • Build subject matter expertise for designated line of business(es) and lead the content strategy and content creation efforts that enable us to deliver clear and relevant information to our members and customers for that business
  • Leverage insights and analytics to guide your team to optimize content performance and lead experimentation to continuously improve outcomes and content quality
  • Partner with internal and external teams to evolve our content systems at scale, combining structured content, automation, reuse, and AI-assisted workflows across content development and delivery
  • Own intake, prioritization, and capacity planning across team initiatives
  • Lead organizational change by evolving team skills and processes to meet emerging needs
  • Inspire, motivate, and develop productive, effective, high morale teams
  • Coach and mentor team members to support consistent growth and development of employees' careers
  • Model LinkedIn's culture and values and actively participate in developing a healthy team culture

Qualifications
Basic Qualifications
  • Bachelor's degree in Journalism, English, Computer Science, or equivalent working experience
  • 8+ years in one or more of the following areas: content strategy, knowledge management, content management, content operations, or technical writing
  • 5+ years of experience in working with enterprise content management systems such as Adobe Experience Manager (AEM) Guides
  • 5+ years of experience in DITA, structured writing, content reuse, and topic-based authoring
  • 5+ years of demonstrated sound analytical, organizational, and project management skills
  • 3+ years in a leadership role, including experience managing, coaching, and developing team members

Preferred Qualifications
  • Experience in the content creation and validation process for GAI/AI conversational interfaces and familiarity with prompt engineering principles
  • Knowledge of content governance frameworks and editorial standards
  • Experience in forecasting and capacity planning leveraging business data
  • Strong interpersonal skills, including the ability to build authentic business partnerships across multiple locations and effectively deal with escalations
  • Demonstrated knowledge of AI-powered content development processes and tooling
  • Ability to flex and adapt to changing business needs and processes of a fast-paced work environment
  • Ability to manage multiple projects and priorities, make strong decisions based on LinkedIn values and culture, and demonstrate consistent follow-up.
  • Expertise in managing cross-functional projects and collaborating with technical and business teams
  • Experience in stakeholder management and executive communication
  • Experience defining and tracking performance metrics with strong analytical skills
  • Experience using data and insights to improve content quality, performance, or operational outcomes
  • Proficiency in Jira and Confluence
  • Strong understanding of the content development lifecycle across authoring, publishing, localization, and delivery, including metadata models and information architecture

Suggested Skills
  • Content Strategy or Technical Writing
  • Cross-functional Collaboration
  • People Management
  • Change Management & Adoption
  • Strategic Thinking
  • AI in Content Development & Systems

LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $115,000 to $186,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.
Additional Information
Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.
Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
  • Documents in alternate formats or read aloud to you
  • Having interviews in an accessible location
  • Being accompanied by a service dog
  • Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice and Compliance Posters for Job Candidates
Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.

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