Occupation intelligence

monitoring and evaluation officer

Key facts

Are you passionate about ensuring programs and projects achieve their goals and make a real difference? As a monitoring and evaluation officer, you'll be at the heart of this process, using data and analysis to inform decisions and drive positive change.

Summary

Monitoring and evaluation (M&E) officers play a crucial role in assessing the effectiveness of projects, programs, and policies. Your work spans the entire lifecycle, from initial design to ongoing implementation and final assessment. You'll be involved in developing ways to collect and analyze data, ensuring that evidence-based insights are used to improve performance and maximize impact. This role is ideal for individuals who enjoy problem-solving, data analysis, and contributing to strategic decision-making.

Key responsibilities
  • • Designing and implementing monitoring and evaluation frameworks, using established methodologies and approaches.
  • • Developing data collection tools and strategies, including surveys, interviews, and focus groups.
  • • Analyzing data to identify trends, patterns, and areas for improvement, and preparing clear and concise reports.
82%
Resilience Score

Are you passionate about ensuring programs and projects achieve their goals and make a real difference? As a monitoring and evaluation officer, you'll be at the heart of this process, using data and analysis to inform decisions and drive positive change.

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

Could monitoring and evaluation officer 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.

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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 monitoring and evaluation officer

The outlook for monitoring and evaluation officer 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 monitoring and evaluation officer 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 define evaluation objectives and scope depends on trust, nuance, and real-world judgement.

The Human Edge To stay ahead in this role, focus on evaluation theory and types of evaluation. 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 plan evaluation, 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 monitoring and evaluation officer

09
09:00 · Morning
plan evaluation
Define work parameters, plans and agreements for the evaluation.
10
10:30 · Mid-morning
commission evaluation
Define evaluation needs, write responses for project proposals, terms of references. Manage tendering, review proposals, and select and onboard evaluation teams, quality assure evaluation process.
12
12:00 · Midday
define evaluation objectives and scope
Clarify the purpose and scope of the evaluation, frame its questions and boundaries.
14
14:00 · Afternoon
use specific data analysis software
Use specific software for data analysis, including statistics, spreadsheets, and databases. Explore possibilities in order to make reports to managers, superiors, or clients.
15
15:30 · Late afternoon
adapt evaluation methodology
Use appropriate evaluation methods, identify data requirements, sources, sampling, and data collection tools. Adapt evaluation designs and methods to specific contexts.
17
17:00 · Wrap-up
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.

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
  • 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.

  • results-based management

    The management strategy typically used by international governmental bodies (such as United Nations) and civil society organisations to monitor and measure the performance and achievement of results of a project or policy. It focuses on results defined as outputs, outcomes and impact which help organisations to achieve strategic goals.

  • development economics

    Development economics is the branch of economics that deals with processes of socio-economic and institutional change in low-income, transition, and high-income countries. It involves the study of several factors, including health, education, agriculture, governance, economic growth, financial inclusion, and gender inequality.

  • policy analysis

    Understanding of the basic tenets of policymaking in a specific sector, its implementation processes and its consequences.

Cross-sector skills
  • ethics
  • international development
  • scientific research methodology
Essential skills
managing, gathering and storing digital data
  • perform data analysis

    Collect data and statistics to test and evaluate in order to generate assertions and pattern predictions, with the aim of discovering useful information in a decision-making process.

  • use databases

    Use software tools for managing and organising data in a structured environment which consists of attributes, tables and relationships in order to query and modify the stored data.

  • implement data quality processes

    Apply quality analysis, validation and verification techniques on data to check data quality integrity.

  • use specific data analysis software

    Use specific software for data analysis, including statistics, spreadsheets, and databases. Explore possibilities in order to make reports to managers, superiors, or clients.

protecting privacy and personal data
  • respect data protection principles

    Ensure that access to personal or institutional data conforms to the legal and ethical framework governing such access.

  • observe confidentiality

    Observe the set of rules establishing the nondisclosure of information except to another authorised person.

analysing and evaluating information and data
  • apply statistical analysis techniques

    Use models (descriptive or inferential statistics) and techniques (data mining or machine learning) for statistical analysis and ICT tools to analyse data, uncover correlations and forecast trends.

  • formulate findings

    Use analyses to answer evaluation questions and, where appropriate, to develop recommendations.

developing operational policies and procedures
  • develop communications strategies

    Manage or contribute to the conception and implementation of an organisation's internal and external communications plans and presentation, including its online presence.

  • adapt evaluation methodology

    Use appropriate evaluation methods, identify data requirements, sources, sampling, and data collection tools. Adapt evaluation designs and methods to specific contexts.

managing information
  • 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.

  • 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.

gathering information from physical or electronic sources
  • gather data for forensic purposes

    Collect protected, fragmented or corrupted data and other online communication. Document and present findings from this process.

collaborating and liaising
  • communicate with stakeholders

    Facilitate communication between organisations and interested third parties such as suppliers, distributors, shareholders and other stakeholders in order to inform them of the organisation and its objectives.

giving instructions
  • commission evaluation

    Define evaluation needs, write responses for project proposals, terms of references. Manage tendering, review proposals, and select and onboard evaluation teams, quality assure evaluation process.

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.

Career landscape

Where does monitoring and evaluation officer fit?

This role
monitoring and evaluation officer This role

Similarity scores based on skill overlap from ESCO data.

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Common questions

Frequently asked questions

What kind of background is helpful for becoming a monitoring and evaluation officer?
A background in social sciences, statistics, economics, or a related field is often beneficial. Strong analytical skills, attention to detail, and experience with data analysis software are also important. Experience working on projects or programs, particularly in development or humanitarian settings, is highly valued.
How does this role contribute to decision-making?
M&E officers provide evidence-based insights that inform critical decisions. By tracking progress, identifying challenges, and evaluating impact, you help stakeholders understand what's working well, what needs adjustment, and whether a program is achieving its intended outcomes. This data-driven approach leads to more effective and impactful interventions.
What does 'capacity development' involve in this role?
Capacity development means helping others improve their skills and knowledge in M&E. This could involve training project staff on data collection techniques, providing guidance on designing evaluation plans, or supporting partner organizations in building their own M&E systems.