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Knowledge Management Analyst Jobs in California (NOW HIRING)

Management Analyst I

Brentwood, CA · Hybrid

$111K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Management Analyst will also be responsible for presenting findings, updates, and program ... A typical way to obtain the knowledge and abilities would be: Equivalent to a bachelor's degree ...

Management Analyst I

Brentwood, CA · On-site

$111K - $135K/yr

  • Dental

  • Vision

  • Retirement

  • PTO

The Management Analyst will also be responsible for presenting findings, updates, and program ... A typical way to obtain the knowledge and abilities would be: * Equivalent to a bachelor's degree ...

Management Analyst II

Oakland, CA · On-site

$139K - $161K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Within OBP, the Management Analyst II is a lead for budget development for one or more departments ... Has knowledge of: • Principles and practices of public sector budgeting, financial planning, and ...

Showing results 21-40

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 14, 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 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 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 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 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 & Technology Enablement

Revolution Medicines

Redwood City, CA

Full-time

Posted 22 days ago


Job description

The Opportunity:

We are seeking a Manager, Knowledge Management & Technology Learning Enablement to support our enablement and training strategy for Digital, AI, and technology adoption across RevMed.

This is an operations role focused on improving how Information Sciences and Digital Innovation (ISDI) turns knowledge into reusable enterprise assets, increases adoption of Digital and AI capabilities, and scales learning through structured content management, use case curation, enterprise communications, and network-based change enablement. 

Business Outcome Enabled 

This role enables faster and more consistent enterprise adoption of Digital and AI capabilities by creating a governed, scalable system for knowledge capture, training content management, use case curation, and enterprise collaboration. 

Success in this role should improve: 

  • enterprise access to curated Digital and AI learning content 

  • reuse of internally created knowledge assets and training materials  

  • visibility and sharing of practical AI and technology use cases 

  • coordination and effectiveness of the AI Champion Network 

  • the organization's ability to scale learning, adoption, and change enablement without relying on fragmented one-off efforts 

Metrics of success will be co-defined between this role and its Manager. 
Knowledge Management and Content Governance 

  • Own the operational and knowledge management approach for Digital, AI, and technology learning content across Information Sciences.

  • Manage both curated external/internal content and content created internally through training sessions, requests, enablement work, and ongoing learning activities.

  • Define and maintain standards for content organization, taxonomy, tagging, metadata, version control, lifecycle management, and accessibility.

  • Ensure materials are current, structured, searchable, and reusable across the enterprise.

  • Establish lightweight governance that balances consistency, speed, and scalability.

Enterprise Content Sharing and Communications 

  • Own the process for publishing and sharing enablement content through enterprise channels, including RevNet and ongoing newsletters.

  • Translate ongoing learning activity, training outputs, and curated use cases into high-value enterprise-facing content.

  • Ensure knowledge assets are packaged for practical consumption by different audiences across the organization.

  • Partner with stakeholders to improve visibility, discoverability, and sustained use of enablement content.

AI Champion Network Operations and Use Case Curation 

  • Manage the logistics and operating rhythm of the AI Champion Network as a change champion and enablement community.

  • Coordinate meeting preparation, content flow, follow-ups, and operational support for AI Champion Network activities.

  • Own the curation, tracking, organization, and sharing of use cases raised through AI Champion meetings.

  • Maintain a structured view of escalated use cases, themes, priorities, and reuse opportunities.

  • Coordinate closely with AI Champion members and internal AI Team for identifying use cases, while retaining ownership of use case curation, knowledge organization, and enterprise sharing. 

Digital and AI Capability Building 

  • Support enterprise AI capability building by identifying, organizing, and sharing real use cases that help teams understand how Digital and AI tools can create business value. 

  • Curate examples, patterns, and learning content that improve adoption of priority AI and digital capabilities.

  • Partner with Digital, Data, AI, and platform teams to support enablement for new tools, pilots, and enterprise capabilities.

  • Apply adult learning and enablement principles to ensure content is practical, scalable, and useful in real workflows.

Onboarding and Learning Enablement 

  • Improve how IT onboarding and role-based learning content is structured, maintained, and delivered.

  • Support learning journeys, training materials, and knowledge pathways tied to enterprise technologies and Digital / AI capabilities.

  • Help ensure internally developed training content aligns with defined learning objectives and enablement standards.

  • Support the creation of reusable assets from live and asynchronous learning activities.

Measurement and Continuous Improvement 

  • Conduct gap analyses to identify content duplication, missing knowledge assets, low-value materials, and opportunities to improve reuse.

  • Gather feedback and usage insights to improve content quality, communication effectiveness, and learning impact.

  • Track operational metrics related to content health, use case sharing, knowledge reuse, communications reach, and enablement effectiveness.

  • Continuously improve the systems and processes that support knowledge flow, use case visibility, and enterprise learning.

Required Skills, Experience and Education:

This is not an engineering role. Candidates without required qualifications listed below are not encouraged to apply until requirements can be met. 

  • Bachelor's degree or equivalent experience in information systems, business, learning and development, communications, life sciences, or a related field.

  • 8+ years of relevant experience in knowledge management, learning enablement, content operations, change enablement, communications, or related areas.

  • Experience managing structured content, knowledge assets, or learning materials in a technology, digital, or enterprise environment.

  • Strong ability to organize, govern, and scale content across multiple sources and stakeholder groups.

  • Successful measurable outcomes in training or organizational development supporting AI capability development.

  • Demonstrated evidence of AI capability through work products including, but not limited to.

  • ability to select appropriate tools and models depending on work needs, validating AI tool outputs, responsible AI usage. 

  • ability to identify practice opportunities to improve quality, speed, insight, or coordination and collaboration.

  • uses digital tools in recurring work and improves workflows or deliverables.

  • shares useful examples, explains what works and does not work, helps others adopt good habits.

  • Experience translating ongoing activity, meetings, requests, or training outputs into reusable and shareable knowledge assets.

  • Strong program coordination and operational management skills.

  • Strong written and verbal communication skills with the ability to tailor content for technical and non-technical audiences.

  • Ability to work cross-functionally, work in teams and in a matrices environment, and able to work independently, drive structure, and manage evolving priorities in a fast-moving environment.

Preferred Skills:

  • Experience supporting Digital, AI, technology adoption, or enterprise enablement programs.

  • Experience managing internal communications channels such as intranet platforms or newsletters.

  • Experience curating and organizing use cases, success stories, or workflow examples for enterprise learning.

  • Experience supporting community-based change networks, ambassador programs, or champion networks.

  • Familiarity with knowledge and collaboration platforms such as SharePoint, Confluence, Simplrr, or LMS environments.

  • Experience working in a regulated or life sciences environment.

  • Exposure to adult learning, performance consulting, instructional design, or change enablement methods.

  • Experience using data and feedback to improve enablement effectiveness and adoption outcomes. 

    #LI-Hybrid #LI-YG1