ICT information and knowledge manager

ICT information and knowledge managers contribute to the definition of organisational information strategy and apply information and knowledge creation, editing, storage, and distribution policies. They manage the maintenance and evolution of structured and unstructured information. They create digital structures to enable exploitation and optimisation of information and knowledge, manage data analysis and enable business intelligence.

The following job titles also refer to ICT information and knowledge manager:

IT knowledge manager
IT information and knowledge manager
IT information manager
ICT knowledge manager
ICT information and knowledge managers
ICT information manager

Bachelor’s degree is generally required to work as ICT information and knowledge manager. However, this requirement may differ in some countries.

ISCO skill level is defined as a function of the complexity and range of tasks and duties to be performed in an occupation. It is measured on a scale from 1 to 4, with 1 the lowest level and 4 the highest, by considering:

• the nature of the work performed in an occupation in relation to the characteristic tasks and duties
• the level of formal education required for competent performance of the tasks and duties involved and
• the amount of informal on-the-job training and/or previous experience in a related occupation required for competent performance of these tasks and duties.

ICT information and knowledge manager is a Skill level 4 occupation.

These occupations, although different, require a lot of knowledge and skills similar to ICT information and knowledge manager.

data analyst
chief data officer
data scientist
ICT business analyst
ICT business analysis manager

These occupations require some skills and knowledge of ICT information and knowledge manager. They also require other skills and knowledge, but at a higher ISCO skill level, meaning these occupations are accessible from a position of ICT information and knowledge manager with a significant experience and/or extensive training.

This knowledge should be acquired through learning to fulfill the role of ICT information and knowledge manager.

Information structure: The type of infrastructure which defines the format of data: semi-structured, unstructured and structured.
Information security strategy: The plan defined by a company which sets the information security objectives and measures to mitigate risks, define control objectives, establish metrics and benchmarks while complying with legal, internal and contractual requirements.
Business intelligence: The tools used to transform large amounts of raw data into relevant and helpful business information.
Information architecture: The methods through which information is generated, structured, stored, maintained, linked, exchanged and used.
Data mining: The methods of artificial intelligence, machine learning, statistics and databases used to extract content from a dataset.
Decision support systems: The ICT systems that can be used to support business or organisational decision making.
Information extraction: The techniques and methods used for eliciting and extracting information from unstructured or semi-structured digital documents and sources.
Information categorisation: The process of classifying the information into categories and showing relationships between the data for some clearly defined purposes.
Business processes: Processes which an organisation applies to improve efficiency, set new objectives and reach goals in a profitable and timely manner.
Data storage: The physical and technical concepts of how digital data storage is organised in specific schemes both locally, such as hard-drives and random-access memories (RAM) and remotely, via network, internet or cloud.
Online analytical processing: The online tools which analyse, aggregate and present multi-dimensional data enabling users to interactively and selectively extract and view data from specific points of view.
Unstructured data: The information that is not arranged in a pre-defined manner or does not have a pre-defined data model and is difficult to understand and find patterns in without using techniques such as data mining.
Data models: The techniques and existing systems used for structuring data elements and showing relationships between them, as well as methods for interpreting the data structures and relationships.

These skills are necessary for the role of ICT information and knowledge manager.

Migrate existing data: Apply migration and conversion methods for existing data, in order to transfer or convert data between formats, storage or computer systems.
Interpret current data: Analyse data gathered from sources such as market data, scientific papers, customer requirements and questionnaires which are current and up-to-date in order to assess development and innovation in areas of expertise.
Manage business knowledge: Set up structures and distribution policies to enable or improve information exploitation using appropriate tools to extract, create and expand business mastery.
Assess informational needs: Communicate with clients or users in order to identify which information they require and the methods with which they can access it.
Manage ict data architecture: Oversee regulations and use ICT techniques to define the information systems architecture and to control data gathering, storing, consolidation, arrangement and usage in an organisation.
Analyse the context of an organisation: Study the external and internal environment of an organisation by identifying its strengths and weaknesses in order to provide a base for company strategies and further planning.
Manage data collection systems: Develop and manage methods and strategies used to maximise data quality and statistical efficiency in the collection of data, in order to ensure the gathered data are optimised for further processing.
Deliver visual presentation of data: Create visual representations of data such as charts or diagrams for easier understanding.
Structure information: Organise information using systematic methods such as mental models and according to given standards in order to facilitate user information processing and understanding with respect to the specific requirements and characteristics of the output media.
Manage information sources: Identify relevant internal and external information sources and providers. Organise the information workflow and define information deliverables.
Create data models: Use specific techniques and methodologies to analyse the data requirements of an organisation’s business processes in order to create models for these data, such as conceptual, logical and physical models. These models have a specific structure and format.

This knowledge is sometimes, but not always, required for the role of ICT information and knowledge manager. However, mastering this knowledge allows you to have more opportunities for career development.

Data protection: The principles, ethical issues, regulations and protocols of data protection.
Information confidentiality: The mechanisms and regulations which allow for selective access control and guarantee that only authorised parties (people, processes, systems and devices) have access to data, the way to comply with confidential information and the risks of non-compliance.
Data quality assessment: The process of revealing data issues using ​quality indicators, measures and metrics in order to plan data cleansing and data enrichment strategies according to data quality criteria.

These skills and competences are sometimes, but not always, required for the role of ICT information and knowledge manager. However, mastering these skills and competences allows you to have more opportunities for career development.

Assess ict knowledge: Evaluate the implicit mastery of skilled experts in an ICT system to make it explicit for further analysis and usage.
Keep up with the latest information systems solutions: Gather the latest information on existing information systems solutions which integrate software and hardware, as well as network components.
Perform data mining: Explore large datasets to reveal patterns using statistics, database systems or artificial intelligence and present the information in a comprehensible way.
Ensure information privacy: Design and implement business processes and technical solutions to guarantee data and information confidentiality in compliance with legal requirements, also considering public expectations and political issues of privacy.
Design information system: Define the architecture, composition, components, modules, interfaces and data for integrated information systems (hardware, software and network), based on system requirements and specifications.
Interact with users to gather requirements: Communicate with users to identify their requirements and collect them. Define all relevant user requirements and document them in an understandable and logical way for further analysis and specification.
Coordinate technological activities: Give instructions to colleagues and other cooperating parties in order to reach the desired outcome of a technological project or achieve set goals within an organisation dealing with technology.
Utilise decision support system: Use the available ICT systems that can be used to support business or organisational decision making.
Implement data warehousing techniques: Apply models and tools such as online analytical processing (OLAP) and Online transaction processing (OLTP), to integrate structured or unstructured data from sources, in order to create a central depository of historical and current data.

1330 – Information and communications technology service managers

 

 

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References

1. ICT information and knowledge manager – ESCO