Details

Mission and objectives

Food and Agricultural Organization of the United Nations (FAO) is a specialized Agency established in October 1945, with the mission to contribute to eradicating hunger and achieving food security for all. It has a comprehensive mandate from its Members to work globally on all aspects of food and agriculture (including forestry, livestock and natural resources’ management), food security and nutrition. FAO has an extensive knowledge base and has comparative advantage as a knowledge broker; it strengthens its convening power. Regional and decentralized offices provide the opportunity to capitalize on successful experiences, engage partners, stakeholders and end-users to tailor knowledge products and services specifically to the needs and capacities. FAO has 26 member countries in Asia and 18 member countries in the Pacific region. FAO’s Regional Office for Asia and the Pacific (FAO RAP) is based in Bangkok, Thailand.

Context

Asia and the Pacific is entering a critical period of preparedness, anticipatory action and early response for the 2026/27 El Niño strong event. The event may affect rainfall, water availability, agricultural production, livestock and heat exposure across multiple countries, while impacts and timing will vary considerably by location. FAO’s Regional Office for Asia and the Pacific is supporting country offices, governments and regional partners to translate evolving climate and agricultural risk information into timely preparedness and anticipatory action.
The Disaster Risk Management Associate will join FAO’s regional disaster resilience team in Bangkok and provide hands-on support to the regional El Niño portfolio. The assignment will focus on coordination, information management, knowledge products and operational follow-up across country and regional workstreams. It will also support consolidation of evidence and lessons from the 2026/27 event, including links with ASEAN and the Asia-Pacific Technical Working Group on Early Warnings and Anticipatory Action. The role offers exposure to climate-risk analysis, anticipatory action, regional coordination and multi-country programme delivery, working with FAO country offices, technical teams, governments, Red Cross/Red Crescent partners and other regional stakeholders.

Task description

Under the direct supervision of Natural Resources Officer (Inclusion & Resilience), the Disaster Risk Management Associate will undertake the following tasks :

* Support information management for FAO’s regional 2026/27 El Niño work, including maintaining action trackers, country updates, timelines, meeting records and follow-up actions across regional and country workstreams.
* Support the consolidation and presentation of climate, drought, heat-risk, agricultural and operational information from FAO country offices and technical partners into concise regional updates, briefing notes, dashboards, presentations and decision-support products.
* Assist with coordination of routine El Niño monitoring and preparedness processes, including scheduling and preparing meetings, compiling inputs, recording decisions and following up agreed actions with country offices and technical colleagues.
* Contribute to knowledge management and evidence building by organizing project documentation, implementation records, monitoring information and lessons from anticipatory action interventions, and supporting preparation of After-Action Reviews and evidence products.
* Support communication and knowledge-sharing on El Niño preparedness and anticipatory action, including drafting accessible internal updates, talking points, summaries and materials for regional partners and events.
* Assist with regional coordination and learning processes, including engagement with ASEAN partners and the Asia-Pacific Technical Working Group on Early Warnings and Anticipatory Action, and support the preparation and documentation of work-shops, consultations and learning events.
* Support other related disaster resilience, early warning and anticipatory action tasks as required, as part of the regional team and with appropriate guidance and mentoring.
* Contribute, with guidance from technical colleagues, to exploring practical applications of artificial intelligence (AI) and machine learning for climate and agricultural risk analysis, including organizing and preparing datasets, testing AI-assisted approaches for synthesizing and visualizing information, documenting use cases and limitations, and supporting the responsible use of emerging tools for impact forecasting, early warning and anticipatory action.

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