General Information

Position Title

AI Business Analyst

Job Category

Information and Communications Technology

Duty Station(s)

Copenhagen

Seniority Level

Mid Level

ICS Level

ICS 09

Contract Type

ICA – IICA – Regular

Contract Level

IICA 1

Posting Start Date

05-Jun-2026

Posting End Date

21-Jun-2026

Duration

Ongoing, subject to the availability of funds and performance

Job Highlight

This role combines business analysis, data analytics, and knowledge management in the context of cutting-edge AI deployment. You”ll gather requirements from field offices across 80+ countries, measure whether AI solutions are actually delivering value, and build the documentation and catalogues that keep the whole operation running. It”s ideal for someone who is analytical, structured, and wants to see their work directly inform how AI scales globally.

About the Group

The UNOPS IT Group (ITG) is at the forefront of digital transformation, designing, delivering, and managing all of UNOPS IT infrastructure and business applications. We are a global team, dedicated to harnessing cutting-edge technology to address critical business needs and empower UNOPS personnel worldwide. ITG provides the essential IT systems and tools that underpin the successful implementation of UNOPS projects and the delivery of corporate initiatives. From maintaining robust enterprise resource planning (ERP) systems and developing bespoke business applications to managing our cloud infrastructure and supporting global collaboration platforms, our work ensures operational excellence. We are committed to continuous improvement, driving effectiveness and efficiency in UNOPS products and services, ultimately helping people build better lives and countries achieve peace and sustainable development.

Job Specific Context

The AI Centre of Excellence is being established with the ambition of rolling out a robust AI infrastructure and innovative AI-based solutions, ensuring scalability for future growth and technological advancements.This position provides the analytical and documentation backbone for the AI CoE – gathering requirements, measuring adoption, and maintaining the knowledge base that ensures AI solutions are well-understood, properly documented, and continuously improved based on evidence.

Role Purpose

Under the supervision of the AI Adoption Coordinator, the AI Business Analyst provides the analytical foundation for the AI Centre of Excellence. This role elicits and documents business requirements, maps workflows, analyses adoption data, and maintains the knowledge base that underpins solution design, rollout decisions, and continuous improvement.

Functions / Key Results Expected

1. Contextual Analysis & Solution Validation

Analyse business needs across HQ practices and field offices to ensure AI solutions are designed, configured, and documented for the specific context and use cases of their target users.

Validate the relevance and fit of AI solutions for target audiences by reviewing user needs, contextual requirements, and field conditions before and during rollout.

Conduct structured requirements-gathering sessions, including interviews, workshops, and surveys, with field and HQ stakeholders.

Document business needs as user stories, process flows, and functional specifications that feed directly into the solution pipeline.

Map current business processes and workflows for target use cases through structured analysis, identifying pain points, manual workarounds, and automation opportunities.

2. Adoption Analytics & Performance Benchmarking

Collect and analyse adoption data from deployed solutions, including usage, ROI, productivity gains, and time savings.

Benchmark AI solution performance against agreed KPIs, identifying adoption trends, efficiency gains, risk indicators, and improvement opportunities across deployments.

Produce analytical reports and data visualisations that inform pipeline prioritisation, rollout sequencing, and post-deployment reviews.

Translate raw data into actionable recommendations and clear dashboards for the AI Practice Lead and Coordinator.

3. Documentation & Knowledge Management

Develop and maintain user-facing documentation including quick-start guides, FAQ documents, and troubleshooting guides tailored to field office personnel with varying technical literacy.

Maintain a living inventory of all ITG-owned AI solutions, including deployment status by office/region, version history, and adoption metrics.

Maintain the Technical Library, ensuring system blueprints, user manuals, and technical methodologies are updated and accessible.

Contribute to internal knowledge-sharing initiatives to facilitate reproducibility and long-term sustainability of AI work.

4. Ethics, Capacity Building & Growth

Assist in the design and delivery of workshops and guidance materials to strengthen data literacy among colleagues.

Contribute to the application of ethical AI principles, including data privacy, transparency, and bias mitigation.

Provide technical input to AI-related proposals, focusing on feasibility assessments and methodological approaches.

Skills

Analytical Skills, Data Analysis, Knowledge Management, Technical Documentation, Effective communication

Competencies

Treats all individuals with respect; responds sensitively to differences and encourages others to do the same. Upholds organisational and ethical norms. Maintains high standards of trustworthiness. Role model for diversity and inclusion.

Acts as a positive role model contributing to the team spirit. Collaborates and supports the development of others. For people managers only: Acts as positive leadership role model, motivates, directs and inspires others to succeed, utilizing appropriate leadership styles.

Demonstrates understanding of the impact of own role on all partners and always puts the end beneficiary first. Builds and maintains strong external relationships and is a competent partner for others (if relevant to the role).

Efficiently establishes an appropriate course of action for self and/or others to accomplish a goal. Actions lead to total task accomplishment through concern for quality in all areas. Sees opportunities and takes the initiative to act on them. Understands that responsible use of resources maximizes our impact on our beneficiaries.

Open to change and flexible in a fast paced environment. Effectively adapts own approach to suit changing circumstances or requirements. Reflects on experiences and modifies own behavior. Performance is consistent, even under pressure. Always pursues continuous improvements.

Evaluates data and courses of action to reach logical, pragmatic decisions. Takes an unbiased, rational approach with calculated risks. Applies innovation and creativity to problem-solving.

Expresses ideas or facts in a clear, concise and open manner. Communication indicates a consideration for the feelings and needs of others. Actively listens and proactively shares knowledge. Handles conflict effectively, by overcoming differences of opinion and finding common ground.

Education Requirements

Required

Bachelor’s degree (or equivalent) in Artificial Intelligence, Data Science, Computer Science, Engineering, Business Administration or related fields with 4 years of relevant experience OR

Master’s degree (or equivalent) in any of the above or related fields with 2 years of relevant experience is required

Experience Requirements

Required

Relevant experience is work in business analysis, data analysis, or related areas. (2 years with a Master”s, 4 years with a Bachelor”s)

Experience eliciting business requirements through interviews, workshops, or surveys, and documenting them as user stories, process flows, or functional specifications.

Experience mapping business processes or workflows, identifying inefficiencies or automation opportunities

Experience producing analytical reports, dashboards, or data visualisations to inform decision-making

Experience in developing technical documentation, user guides, or training materials.

Familiarity with AI/ML platforms or tools (e.g., Azure AI, Google Vertex, OpenAI APIs)

Experience working with stakeholders across multiple locations, offices, or cultural contexts.

Desired

Experience tracking performance metrics, adoption data, or KPIs.

Experience with AI solution implementation in international development or humanitarian contexts.

Experience with organizational change management or technology adoption programs.

Language Requirements

LanguageProficiency LevelRequirementEnglishFluentRequired

Additional Information

• UNOPS does not accept unsolicited resumes.
• UNOPS will at no stage of the recruitment process request candidates to make payments of any kind.
• Applications to vacancies must be received before midnight Copenhagen time (CET) on the closing date of the announcement. Applications received after the closing date will not be considered.
• Only shortlisted candidates will be contacted and invited to proceed to the next stage of the selection process, which may include various assessments.
• UNOPS embraces diversity and is committed to equal employment opportunity. Our workforce consists of a wide range of nationalities, cultures, languages, races, gender identities, sexual orientations, and abilities. We strive to sustain and strengthen this diversity, fostering an inclusive working environment where all personnel are treated with respect and have equal access to opportunities.
• UNOPS evaluates all applications based on the skills, qualifications and experience outlined in the vacancy announcement. We are committed to a fair and transparent selection process and welcome diverse perspectives, including those of women, indigenous and racialized communities, individuals of diverse gender identities and sexual orientations, and persons with disabilities.
• We are committed to enabling all candidates to perform at their best during the assessment process. If you are shortlisted and require support or reasonable accommodation to complete any assessment, please inform our human resources team upon receiving your invitation.
• UNOPS has zero tolerance for sexual exploitation and abuse (SEA), sexual harassment, and other forms of abusive conduct, including discrimination, abuse of authority, and harassment. To uphold these standards, background checks are conducted for all final candidates to help ensure that individuals with a history of such conduct are not hired. By applying for a position with UNOPS, candidates acknowledge and consent to these verification processes.

Terms and Conditions

• For staff positions only, UNOPS reserves the right to appoint a candidate at a lower level than the advertised level of the post.
• For retainer contracts, you must complete a few mandatory courses (they take around 4 hours to complete) in your own time, before providing services to UNOPS. Refreshers or new mandatory courses may be required during your contract. Please note that you will not receive any compensation for taking courses and refreshers. For more information on a retainer contract here.
• For more details about the contract types, please click here.
• All UNOPS personnel are responsible for performing their duties in accordance with the UN Charter and UNOPS Policies and Instructions, as well as other relevant accountability frameworks. In addition, all personnel must demonstrate an understanding of the Sustainable Development Goals (SDGs) in a manner consistent with UN core values and the UN Common Agenda.
• It is the policy of UNOPS to conduct background checks on all potential personnel. Recruitment in UNOPS is contingent on the results of such checks.