Monitoring, Evaluation & Learning Officer - Heart of Conservation Initiative

About the role

The Heart of Conservation Initiative (HCI) is a 5-year global project aimed at strengthening Indigenous Peoples' and local communities' ability to access sustainable finance for territorial stewardship. The Monitoring, Evaluation and Learning (MEL) Officer, based in Kenya, Cambodia or Brazil, reports to the Project Manager and covers monitoring, evaluation and learning, with a focus on components 1 and 5. The role is cross-cutting and supports both Indigenous and local community partners and GEF core indicator requirements.

Key responsibilities

• Design indicator collection methodology with the Project Manager and C1 partners, monitor M&E plans and advise on data use for adaptive management
• Deliver a Results Framework and Work Plan Tracking Report each project year, including Core indicators
• Co-develop a learning agenda and culturally appropriate learning methods with C1 partners, and lead the annual reflection workshop
• Help prepare the 6-month, 12-month and annual project progress reports
• Organize learning exchanges and knowledge fairs with GESI and CKM officers, and build a live, transparent database of project data
• Ensure data sovereignty and safety, collect data from external sources, and troubleshoot culturally appropriate data collection approaches
• Support external evaluation planning and presentation of results at regional and international forums; week-long international travel about quarterly may be expected

Required profile

• Bachelor's degree in a natural or social science, environmental management, program evaluation, international development or a related field; advanced degree preferred
• At least 7 years of relevant experience (a Master's degree substitutes for 2 years); 3 years in M&E systems for development or conservation projects
• Experience supporting Indigenous peoples and local communities organizations with culturally sensitive collaboration
• Fluency in English; Spanish, French and/or Portuguese strongly preferred
• Experience in distributed teams across time zones; international field experience preferred

Required skills

• Data analysis and database software such as Excel or Smartsheet
• Research methods, quantitative and qualitative data collection, and statistical software such as R or Stata (desired)
• Open Standards for Conservation Management or WWF standards and results-based management (preferred)