Evaluation Manager

Description:

The Education Outcomes Fund (EOF) is dedicated to improving education and employment outcomes for children and youth globally. Our small but mighty team is working at the cutting edge of development finance, leveraging our platform at the UN and our innovative, results-focused approach to change the way education is financed to support the next generation of youth.

EOF is looking for an exceptional Evaluation Manager to join our Programs Team. If you are an outstanding problem solver, passionate about improving education and employment outcomes for children and youth and looking for a challenge in a fast-paced, entrepreneurial environment, we would love to hear from you. Please send your CV and cover letter to hr@edufundmea.org by COB Sunday 19 May. Please ensure that you include the role you're applying for in the email subject line.

About the Education Outcomes Fund

EOF supports improvements in the quality of education and skills programs, with a special focus on girls and underserved populations, including those in the hardest to reach rural areas. It measures (and pays for) what matters – both core skills like literacy and numeracy, but also critical 21st Century skills such as socio-emotional skills, ICT skills, and other broader fundamentals of a quality education. It helps close the persistent gap between the skills needed by employers and those attained by today's youth.

The opportunity

Evaluation is central to the RBF programs we design, and the policy insights they generate are a key part of their value. We are seeking to recruit a high-calibre Evaluation Manager to join our program team and lead the design and implementation of country-level monitoring, evaluation and learning across all three of our portfolios: early childhood care and education, basic education, and skills for employment.

The Evaluation Manager will work in close collaboration with each country program team to ensure evaluation is aligned with the program objectives and design for joint decisions around the best method and protocols for each context, the creation of mechanisms to mitigate perverse incentives (cream skimming, teaching to the test) and cost implications of decisions around the number of metrics, types of verification and timeline of measurement.