Team: New Business | Commitment: Career | Location: kenya
Senior Monitoring, Evaluation, and Learning Advisor – Kenya LWA
Brief Project Overview
The USAID/Kenya Feed the Future Livestock Market Systems project will focus on the development of the livestock market system within Northern Kenya by linking activities to increase production of livestock and build the capacity of the private sector along the livestock value chain. By the end of this 5-year project, people, households, and communities in the counties of Garissa, Isiolo, Wajir, Marsabit, and Turkana will be more resilient in the face of complex risk and reoccurring drought.
CNFA is looking for candidates with proven track records in East African development and the livestock sector, specifically with experience working in Kenya.
CNFA is currently seeking applicants for a Senior Monitoring, Evaluation, and Learning Advisor.
Women and Kenyan Nationals are strongly encouraged to apply.
Applications will be reviewed on a rolling basis.
The Ideal Candidate’s Experience
- 7+ years of experience in the design, implementation, and adaption of monitoring, evaluation, and learning (MEL) systems and collaborative learning and adaptation (CLA) for complex, multi-sectoral projects is required, preferably for USAID and other donor-funded projects;
- 2+ years of relevant supervisory experience is required;
- Experience managing MEL and CLA for livestock, nutrition, and/or livelihood activities or related activities is required;
- Experience strengthening the capacity of government entities and other organizations to better manage knowledge sharing, monitoring, evaluation, and learning;
- Demonstrated research and analytical skills within rural and pastoralist settings is required;
- Familiarity with the Kenyan livestock industry is preferred;
- Familiarity with the Women’s Empowerment in Agriculture Index (WEAI) is preferred;
- Bachelor’s degree is required; Master’s degree is preferred;
- Strong verbal and written skills in English and Kiswahili are required; knowledge of local languages is strongly preferred.