ICT information and knowledge manager
Role lens
Are you passionate about organizing information and turning data into actionable insights? As an ICT information and knowledge manager, you'll be at the heart of ensuring an organization effectively uses its data to achieve its goals.
ICT information and knowledge managers play a crucial role in shaping how organizations manage and leverage their information assets. Your day might involve defining information strategies, creating systems for storing and distributing knowledge, analyzing data to identify trends, and ensuring information is accessible and useful to colleagues. This role requires a blend of technical understanding, analytical skills, and a keen eye for detail, making it a rewarding career for those who enjoy problem-solving and improving organizational efficiency.
- • Developing and implementing information and knowledge management policies and procedures.
- • Designing and maintaining digital structures (databases, knowledge repositories, etc.) to organize and store information.
- • Analyzing data and creating reports to support business intelligence and decision-making.
Are you passionate about organizing information and turning data into actionable insights? As an ICT information and knowledge manager, you'll be at the heart of ensuring an organization effectively uses its data to achieve its goals.
Could ICT information and knowledge manager fit you?
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Future Outlook for ICT information and knowledge manager
The outlook for ICT information and knowledge manager is exceptionally stable. While AI tools will assist with daily tasks, the core of this role relies on human judgment, resulting in a high resilience score of 77.1%.
How are these scores calculated?
The Resilience Score (0–100) estimates how structurally protected this occupation is from automation and AI disruption, based on task-level analysis. Higher scores mean more human-judgment-intensive tasks. AI Exposure shows the estimated percentage of task hours that current AI capabilities could affect. These are model-derived structural indicators, not predictions about individual job security.
How could ICT information and knowledge manager change as AI adoption grows?
Human judgement, trust, and context remain strong protectors for this role.
How could ICT information and knowledge manager change as AI adoption grows?
Human judgement, trust, and context remain strong protectors for this role.
How AI may change this role
Deterministic, model-based interpretation of current role signals — not a guarantee of replacement.
What still depends on people
This role remains strongly human-led where assess informational needs depends on trust, nuance, and real-world judgement.
Where AI may become a co-pilot
AI is more likely to assist supporting tasks such as create data models, documentation, search, and workflow coordination.
Tasks most exposed to automation
Automation pressure appears selective rather than broad, with the strongest signal currently coming from AI / machine learning.
Detailed Analysis Vital Signs, AI Vectors & Megatrends
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Vital Signs, AI Vectors & Megatrends
Vital Signs
AI Exposure Vectors
0-100%Exposure to AI-assisted analysis, pattern recognition, and predictive modelling tasks
Exposure to content generation, creative augmentation, and large language model tools
Exposure to workflow automation, decision-support software, and process digitisation
Exposure to physical automation, robotics, and sensor-driven task displacement
Megatrend Signals
0-100%Model-derived scores. Indicates structural exposure to megatrends, not direct demand.
Technical Details
NexFuture™ v2.0 combines O*NET ability and activity profiles with ESCO skill group distributions and six global megatrend signals. Scores are probabilistic estimates, not guarantees. See the NexFuture™ Methodology White Paper for full details.
What people in this role usually do
Digital Technology
A typical day as a ICT information and knowledge manager
09 09:00 · Morning assess informational needs
10 10:30 · Mid-morning define technology strategy
12 12:00 · Midday create data models
14 14:00 · Afternoon manage data collection systems
15 15:30 · Late afternoon manage ICT data architecture
17 17:00 · Wrap-up migrate existing data
Task order is illustrative. Individual days vary.
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attack vectors
Paths or methods that threat actors use to exploit vulnerabilities in information networks or systems from a concrete organisation and impact its availability, integrity and confidentiality. Attack vectors may include social engineering tactics such as phishing mails or pretexting, technical exploits as SQL injection as well as buffer overflow attacks.
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data mining
The methods of artificial intelligence, machine learning, statistics and databases used to extract content from a dataset.
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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.
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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.
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decision support systems
The ICT systems that can be used to support business or organisational decision making.
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information architecture
The methods through which information is generated, structured, stored, maintained, linked, exchanged and used.
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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.
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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.
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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.
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migrate existing data
Apply migration and conversion methods for existing data, in order to transfer or convert data between formats, storage or computer systems.
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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.
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define technology strategy
Create an overall plan of objectives, practices, principles and tactics related to the use of technologies within an organisation and describe the means to reach the objectives, taking into account analyses and relevant regulations.
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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.
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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.
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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.
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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.
Skill DNA
Work personality traits and values that define this role
See whether this role fits your Career DNA
Take the free Career DNA assessment to see how ICT information and knowledge manager aligns with your interests, work style, and future path. In less than 10 minutes, you will get a personalized fit signal and a roadmap for what to do next.
Scan to continue on mobileGrowth Pathways & Similar Roles
Explore typical career progression paths, adjacent skills, and similar roles to plan your next transition.
Where does ICT information and knowledge manager fit?
Similarity scores based on skill overlap from ESCO data.
Frequently asked questions
- What skills are most important for an ICT information and knowledge manager?
- Strong analytical and problem-solving skills are essential, alongside experience with data management tools and techniques. Understanding information architecture, data governance principles, and business intelligence concepts is also highly valuable. Effective communication and collaboration skills are key to working with different teams.
- How does this role differ from a data analyst?
- While both roles involve data, an ICT information and knowledge manager focuses on the broader strategy and infrastructure for managing information across the organization. A data analyst typically concentrates on specific data sets to extract insights and create reports. The manager ensures the data is available, organized, and governed effectively for analysis.
- What career path leads to becoming an ICT information and knowledge manager?
- Many professionals enter this role from backgrounds like information technology, library science, data management, or business analysis. Experience in a specific industry can also be beneficial. Building a strong foundation in data management principles and gaining experience with relevant tools are key steps.