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.

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 Contextual Analysis & Solution ValidationAnalyse 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. Adoption Analytics & Performance BenchmarkingCollect 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. Documentation & Knowledge ManagementDevelop 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. Ethics, Capacity Building & GrowthAssist 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.

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

Requirements

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.