CONSULTANCY - Artificial Intelligence Product Owner & Quality Assurance Consultant - SSA-2026-MFDP-DPPD-23

Organizational Context

The World Meteorological Organization (WMO) is implementing a project to develop and deploy Artificial Intelligence (AI)-powered tools to automate the collection, extraction, structuring, and visualization of information related to hydrometeorological (Hydromet) projects. The project aims to strengthen transparency, coordination, and accountability in Hydromet investments by developing an AI-driven data extraction system and an associated Partner Coordination Mechanism (PCM) Dashboard. The solution will automate the extraction of project information from donor websites project documents, standardize information across multiple funding sources, and support evidence-based decision-making through interactive visualizations.

Job Purpose

To provide operational oversight, quality assurance, stakeholder coordination, and validation support throughout the project lifecycle for the development and deployment of AI-powered tools for hydrometeorological projects.

Responsibilities

1. Product ownership and requirements management: Translate business requirements into functional/technical specifications, maintain and track project requirements, coordinate implementation meetings, monitor project progress, and support risk identification/mitigation. 2. Quality assurance and validation: Develop testing and validation methods, create testing data sets, conduct quality assurance and acceptance testing, review extraction accuracy, and coordinate user testing. 3. Technical coordination and sustainability: Liaise with IT focal points to ensure maintainability, documentation, architecture, hosting, security, and handover requirements are met. Review technical architecture from an operational sustainability perspective. Ensure maintainability, scalability, security, and operational requirements are addressed. Support knowledge transfer and handover activities. Verify technical and user documentation meet operational requirements. 4. Stakeholder coordination and reporting: Maintain issue and risk logs, facilitate communication between stakeholders and developers, prepare progress reports, escalate risks, and support project governance.

Work Experience

Working knowledge in generative AI applications. AI/NLP experience (Large Language Models, Retrieval systems, Information extraction, document processing). Experience translating business needs into automated systems.

Skills

Strong understanding of AI lifecycle management, validation methodologies, and quality assurance principles. Knowledge of software development methodologies (Agile, iterative). Ability to translate business requirements into technical specifications. Strong analytical, organizational, and problem-solving skills. Excellent stakeholder management and communication skills. Ability to work independently in a multicultural environment. Familiarity with climate finance, hydrometeorological services, or international development projects. Desirable: Experience supporting development assistance projects, AI governance, responsible AI principles, data quality management, and previous UN agency experience.

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