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WASH Specialist at UNICEF
Job Title: WASH Specialist
UNICEF is a leading advocate for children. They have the global authority to influence decision makers and the variety of partners at the grassroots level to turn the most innovative ideas into reality. They believe that nurturing and caring for children are the cornerstones of human progress. UNICEF was created with this purpose in mind - to work with others to overcome the obstacles that poverty, violence, disease and discrimination place in a child's path.
Qualification:Advanced university degree in one of the disciplines relevant to the following areas: Public Health, Civil Engineering, Mechanical Engineering, Geology, Hydrology, Sanitation Engineering, or a field relevant to international WASH related development assistance.
Skills / Requirement:
- Five years of progressively responsible professional work experience in the UN or other international development organization, national government or the private sector. Field work experience.
- Background/familiarity with Emergency (preparedness and response) and the IASC Cluster approach.
- Fluency in English and another UN language (for IP)
- Fluency in English and local working language of the duty station (for NO).
- Timely sectoral analysis, input, support and collaboration to the Situation Analysis and its periodic update made for effective programme planning, development and management, including emergency preparedness and response.
- Knowledge management effectively promoted through drafting/finalizing key WASH sectoral programme documents and reports, sharing good practice, lessons learned, and knowledge/information exchange.
- Quality of rights-based WASH programmes effectively promoted, and coherence, synergy and value added to programme management process through results-based management and strategies.
- Sectoral work plan and activities formulated, implemented and monitored, ensuring alignment with the defined programme strategies and approaches. Programme monitored with special attention to gender/sex disaggregation of relevant indicators.