Occupation intelligence

information manager

Key facts

Are you passionate about ensuring the right information reaches the right people, at the right time? As an information manager, you'll be at the heart of knowledge flow, designing and maintaining systems that empower effective decision-making across organizations.

Summary

Information managers play a vital role in organizations, both public and private. Your work focuses on building and managing systems that allow people to easily access and utilize information. This involves a blend of theoretical understanding and practical skills in storing, retrieving, and communicating data effectively. You'll be responsible for ensuring information is accurate, secure, and readily available to those who need it, supporting efficient operations and informed choices.

Key responsibilities
  • • Designing and implementing information management systems and policies.
  • • Ensuring data integrity, security, and accessibility.
  • • Developing and delivering training on information management best practices.
82%
Resilience Score

Are you passionate about ensuring the right information reaches the right people, at the right time? As an information manager, you'll be at the heart of knowledge flow, designing and maintaining systems that empower effective decision-making across organizations.

Management & Entrepreneurship Bachelor's or equivalent level 20% AI exposure
Start Career DNA assessment
Quick fit check

Could information manager fit you?

Answer three quick questions. This is not a full assessment — it is a teaser to help you decide whether to compare your profile.

Progress0/3

Do you enjoy tasks that require Integrity?

Do you enjoy tasks that require Dependability?

Do you enjoy tasks that require Relationships?

NexFuture

Future Outlook for information manager

The outlook for information 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 82.1%.

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.

Play the future

How could information manager change as AI adoption grows?

Human judgement, trust, and context remain strong protectors for this role.

Significant task-level transformation is estimated in 19 years (around 2045) under the selected Expected Pace scenario.
82%
Resilience
Automation Risk
EXP25%
Human advantage
MOAT79%
2026
2036
2050
AI Adoption Speed:

How AI may change this role

Deterministic, model-based interpretation of current role signals — not a guarantee of replacement.

Human-owned 82% Human-owned
What still depends on people

This role remains strongly human-led where analyse information systems depends on trust, nuance, and real-world judgement.

The Human Edge To stay ahead in this role, focus on corporate sustainability and data quality assessment. These human-centric skills are the hardest for AI to replicate in the next 20 years.
Assist 36% Assist
Where AI may become a co-pilot

AI is more likely to assist supporting tasks such as cooperate to resolve information issues, documentation, search, and workflow coordination.

Automate 20% Automate
Tasks most exposed to automation

Automation pressure appears selective rather than broad, with the strongest signal currently coming from Cognitive software.

Detailed Analysis

Vital Signs, AI Vectors & Megatrends

Show more

Vital Signs

AI Exposure Vectors

0-100%
Cognitive Software 36.4%

Exposure to workflow automation, decision-support software, and process digitisation

Generative AI 24.9%

Exposure to content generation, creative augmentation, and large language model tools

AI / Machine Learning 13.8%

Exposure to AI-assisted analysis, pattern recognition, and predictive modelling tasks

Robotic & Physical Automation 1.3%

Exposure to physical automation, robotics, and sensor-driven task displacement

Megatrend Signals

0-100%
Digital Transformation 21%
Regulatory Pressure 18%
Spatial Change 12%
Demographic Shift 5%
Geopolitical Change 2%
Green Transition 0%

Model-derived scores. Indicates structural exposure to megatrends, not direct demand.

Technical Details
Methodology: NexFuture v2.0 Sources: O*NET 30.0, ESCO v1.2.0 Updated: May 2026

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.

Day in the life

What people in this role usually do

Management & Entrepreneurship

Day in the life

A typical day as a information manager

09
09:00 · Morning
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.
10
10:30 · Mid-morning
evaluate project plans
Evaluate proposals and project plans and assess feasibility issues.
12
12:00 · Midday
analyse information systems
Conduct analyses of information systems such as archives, libraries and documentation centers to verify their effectiveness. Develop specific problem solving techniques in order to improve the performance of the systems.
14
14:00 · Afternoon
cooperate to resolve information issues
Meet up and communicate with managers, salesmen, and others to facilitate cooperation and resolve problems.
15
15:30 · Late afternoon
develop organisational information goals
Develop and interpret organisational information goals, creating specific policies and procedures.
17
17:00 · Wrap-up
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.

Task order is illustrative. Individual days vary.

Software & Technologies & Knowledge areas
Software & Technologies
Adobe AcrobatAdobe PageMakerADP Enterprise HRADP Workforce NowAtlassian JIRAAutodesk AutoCADBlackbaud The Raiser's EdgeDatabase softwareDelphi TechnologyEmail softwareFileMaker ProFund accounting softwareGoogle DocsGoogle DriveGroupMeHuman resource management software HRMSIBM NotesIBM Power Systems softwareIBM SPSS StatisticsIntuit QuickBooks
Knowledge areas
  • corporate sustainability

    A business practice to conduct long-term sustainable growth by seeking environmental, economic, and social strategies as its three main pillars.

  • 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.

Cross-sector skills
  • copyright legislation
  • knowledge base
Essential skills
managing, gathering and storing digital data
  • manage digital libraries

    Collect, manage and preserve for permanent access digital content and offer to targeted user communities specialised search and retrieval functionality.

  • perform data mining

    Explore large datasets to reveal patterns using statistics, database systems or artificial intelligence and present the information in a comprehensible way.

developing operational policies and procedures
  • develop information standards

    Develop norms or requirements that establish uniform technical criteria, methods, processes and practices in the information management based on professional experience.

  • develop organisational information goals

    Develop and interpret organisational information goals, creating specific policies and procedures.

managing information
  • manage information access aids

    Develop and maintain information access aids such as databases, digital bibliographies, web pages, software programs and online tutorials.

  • manage data

    Administer all types of data resources through their lifecycle by performing data profiling, parsing, standardisation, identity resolution, cleansing, enhancement and auditing. Ensure the data is fit for purpose, using specialised ICT tools to fulfil the data quality criteria.

analysing business operations
  • evaluate project plans

    Evaluate proposals and project plans and assess feasibility issues.

developing solutions
  • develop solutions to information issues

    Analyse information needs and challenges to develop effective technological solutions.

recruiting and hiring
  • recruit employees

    Hire new employees by scoping the job role, advertising, performing interviews and selecting staff in line with company policy and legislation.

engaging with others to identify needs
  • 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.

providing general assistance to people
  • perform customer management

    Identify and understand the customer's needs. Communicate and engage with stakeholders in designing, promoting and evaluating services.

Skill DNA

Skill DNA

Work personality traits and values that define this role

Key traits you need
Integrity Dependability Self-Control Stress Tolerance Attention to Detail Cooperation Initiative Adaptability/Flexibility Independence Analytical Thinking Concern for Others Persistence Achievement/Effort Leadership Innovation Social Orientation
Key rewards you can expect
AchievementWorking Condit…RecognitionRelationshipsSupportIndependence
Career progression

Growth Pathways & Similar Roles

Explore typical career progression paths, adjacent skills, and similar roles to plan your next transition.

)}
Common questions

Frequently asked questions

What kind of background is helpful for becoming an information manager?
A strong foundation in information science, library science, computer science, or a related field is beneficial. Experience with database management, data analysis, and information architecture is also valuable. Analytical and problem-solving skills are crucial, alongside a keen attention to detail.
How does this role differ from a data analyst?
While both roles involve data, an information manager focuses on the *systems* and *processes* for managing information – ensuring it's organized, accessible, and secure. A data analyst typically focuses on *analyzing* data to identify trends and insights. Information managers often create the environment in which data analysts can do their work effectively.
What are the key work styles and values associated with this role?
This role thrives on individuals who are detail-oriented (1.C.4.a), organized (1.C.4.b), and methodical (1.C.5.a, 1.C.5.c). It also requires a commitment to accuracy (1.C.5.b) and a desire to contribute to a well-functioning organization (1.B.2.d, 1.B.2.f, 1.B.2.a, 1.B.2.b).