AI Business Analyst

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.

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.

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.

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.

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 tar...