Monitoring, Evaluation and Learning Advisor
Based in Harare, Zimbabwe
Reports to the Chief of Party
Dotted line to the Evidence Director
Dates of Post: TBD, depending on funding and availability
Who we are
With over 45 years of experience, working in over 60 countries, Population Services International (PSI) is the world’s leading non-profit social marketing organization. PSI is reimagining healthcare, by putting the consumer at the center, and wherever possible – bringing care to the front door. We are working to fix market failures, shape future health markets and shift policy and funding to better support consumer empowered healthcare.
There are over 8,000 “PSI’ers” around the world. We are a diverse group of entrepreneurial development professionals with a wide range of backgrounds and experience. All with unique skills that we bring to the critically important work that we do.
We are looking for a Monitoring, Evaluation and Learning (MEL) Advisor for an anticipated flagship 4-year, $95M USAID-funded HIV biomedical prevention and epidemic control program in Zimbabwe.
Sound like you? Read on.
You will lead the ambitious Evidence pillar this anticipated flagship program (one of three core strategic pillars), including the design and implementation of program data flow and capture to enable internal and external evidence use for decision making. You will lead evidence innovations, operations research and knowledge management for the program, including internal and external dissemination of lessons learned to inform policies, strategies and guidelines for innovative Biomedical Prevention interventions in Zimbabwe and beyond.
What are we looking for:
The basics – You Have
PSI is an Equal Opportunity Employer and encourages applications from qualified individuals regardless of actual or perceived race, religion, color, sex, age, national origin, disability, sexual orientation, marital status, personal appearance, matriculation, political affiliation, family status or responsibilities, gender identity or expression, pregnancy, childbirth, related medical conditions or breastfeeding, genetic information, amnesty, veteran, special disabled veteran or uniform service member status or employment status.