We may earn an affiliate commission when you visit our partners.

Knowledge Management Specialist

Knowledge Management Specialists are responsible for organizing, creating, and managing the knowledge and information within an organization. They work to make sure that the organization's knowledge is accessible, relevant, and up-to-date. Knowledge Management Specialists may also be responsible for developing and implementing knowledge management systems. This career role requires a strong understanding of both information technology and business, as well as excellent communication and interpersonal skills. It may also require a background in library science or information management.

Read more

Knowledge Management Specialists are responsible for organizing, creating, and managing the knowledge and information within an organization. They work to make sure that the organization's knowledge is accessible, relevant, and up-to-date. Knowledge Management Specialists may also be responsible for developing and implementing knowledge management systems. This career role requires a strong understanding of both information technology and business, as well as excellent communication and interpersonal skills. It may also require a background in library science or information management.

Skills Needed

Knowledge Management Specialists typically need the following skills:

  • Information technology: Knowledge Management Specialists must have a strong understanding of information technology, including how to use and manage databases, content management systems, and other information systems.
  • Business knowledge: Knowledge Management Specialists must also have a strong understanding of business, including how organizations operate and how to meet the information needs of employees and customers.
  • Communication skills: Knowledge Management Specialists must be able to communicate effectively with both technical and non-technical audiences.
  • Interpersonal skills: Knowledge Management Specialists must be able to work effectively with a variety of people, including employees, customers, and vendors.
  • Project Management Skills: Knowledge Management Specialists may also need to be able to manage projects, including planning, budgeting, and executing projects.
  • Analytical Skills: Knowledge Management Specialists may need to be able to analyze data and information to identify trends and patterns.
  • Problem-solving Skills: Knowledge Management Specialists may need to be able to solve problems and develop solutions.

Qualifications

Knowledge Management Specialists typically need at least a bachelor's degree in a field such as information technology, business, or library science. Some employers may prefer candidates with a Master's degree.

Career Path

Knowledge Management Specialists typically start their careers in entry-level positions, such as knowledge management assistants or knowledge management analysts. With experience, they can move into more senior positions, such as knowledge management managers or directors.

Job Outlook

The job outlook for Knowledge Management Specialists is expected to be good over the next few years. As organizations increasingly rely on information and knowledge to make decisions, the demand for Knowledge Management Specialists is expected to grow.

Additional Information

Knowledge Management Specialists can work in a variety of industries, including healthcare, education, government, and financial services. They may work for large or small organizations. Knowledge Management Specialists can also work as independent consultants.

Online courses can be a helpful way to learn about Knowledge Management and prepare for a career in this field. Online courses can provide students with the opportunity to learn about the latest trends and best practices in Knowledge Management. Students can also learn about the tools and technologies used in Knowledge Management. Online courses can also provide students with the opportunity to network with other Knowledge Management professionals.

While online courses can be a helpful way to learn about Knowledge Management, they are not enough to prepare someone for a career in this field. Students who want to become Knowledge Management Specialists should also gain experience working with information and knowledge management systems. Students can gain experience through internships, volunteer work, or by working on personal projects.

Share

Help others find this career page by sharing it with your friends and followers:

Salaries for Knowledge Management Specialist

City
Median
New York
$113,000
San Francisco
$144,000
Seattle
$95,000
See all salaries
City
Median
New York
$113,000
San Francisco
$144,000
Seattle
$95,000
Austin
$97,000
Toronto
$88,000
London
£83,000
Paris
€55,000
Berlin
€71,000
Tel Aviv
₪446,000
Singapore
S$128,000
Beijing
¥637,000
Shanghai
¥106,000
Shenzhen
¥611,000
Bengalaru
₹700,000
Delhi
₹424,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Knowledge Management Specialist

Take the first step.
We've curated 23 courses to help you on your path to Knowledge Management Specialist. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Reading list

We haven't picked any books for this reading list yet.
Comprehensive introduction to the Semantic Web. It covers the history, technologies, and applications of the Semantic Web, and provides a detailed overview of the Semantic Web stack.
Comprehensive introduction to the Semantic Web. It covers the history, technologies, and applications of the Semantic Web, and provides a detailed overview of the Semantic Web stack.
Classic paper on the Semantic Web. It introduces the concept of the Semantic Web and discusses its potential applications. This also includes a list of authors who have high accolades and exceptional accomplishments in the area of Semantic Web.
Provides a comprehensive overview of full-text indexing and retrieval. It covers a variety of topics, including text preprocessing, indexing, retrieval models, and evaluation.
Guide to working with Linked Data. It covers the principles of Linked Data, the different types of Linked Data, and how to use Linked Data in applications.
Focuses on probabilistic models for information retrieval, including full-text search. It covers a variety of topics, including language models, retrieval models, and evaluation.
Provides a comprehensive overview of information retrieval, including full-text search. It covers a variety of topics, including text preprocessing, indexing, retrieval models, and evaluation.
Focuses on the evaluation of information retrieval systems, including full-text search. It covers a variety of topics, including evaluation measures, user studies, and system tuning.
Provides a comprehensive overview of data mining, including full-text search. It covers a variety of topics, including data preprocessing, clustering, classification, and association rule mining.
Provides a comprehensive overview of speech and language processing, including full-text search. It covers a variety of topics, including speech recognition, natural language understanding, and generation.
Provides a comprehensive overview of pattern recognition and machine learning, including full-text search. It covers a variety of topics, including supervised learning, unsupervised learning, and reinforcement learning.
Focuses on the SIOP (Sheltered Instruction Observation Protocol) model, which research-based framework for teaching English learners. It provides practical strategies for making content comprehensible, including techniques for engaging students, building background knowledge, and using visuals and manipulatives. While not specifically tailored to online courses, the SIOP model can be adapted for use in online environments.
Gentle introduction to the Semantic Web. It good starting point for anyone who is new to the Semantic Web and wants to learn more about its basics.
Presents a framework for backward design, which process for designing instruction by starting with the desired results. It provides guidance on how to develop learning goals, assessments, and instructional activities that are aligned with each other. While not specifically about online courses, the principles of backward design can be applied to any learning environment.
Provides practical guidance on how to design online courses that are engaging and retain students. It covers topics such as creating effective learning activities, providing timely and meaningful feedback, and building a sense of community. While not specifically about content mastery, this book can help instructors create online courses that foster a deeper understanding of the subject matter.
Provides practical tips and strategies for new and struggling online teachers. It covers topics such as course design, student engagement, and time management. While not specifically about content mastery, this book can help instructors create online courses that are more effective and efficient.
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser