Monitoring, Evaluation & Learning (MEL) Associate

Key Responsibilities:

You will lead the comprehensive review and enhancement of Matis Monitoring, Evaluation & Learning approach, which includes:

• Updating and refining Matis Theory of Change to align with evolving priorities, carbon removal goals, and farmer impact pathways.
• Reviewing and revising impact indicators to ensure measurability, relevance, and alignment with ESG standards.
• Upgrading and standardizing data collection tools for accuracy, consistency, and ease of field use.
• Evaluating and enhancing data systems for secure, accessible, and real-time tracking and analysis.
• Integrating digital solutions for impact monitoring, analytics, and reporting.
• Planning and overseeing external evaluations of programs, projects, and ESG performance.
• Generating clear, data-driven reports for leadership, partners, investors, and certification bodies.
• Developing and maintaining carbon accounting protocols for operations and interventions.
• Synthesizing and disseminating findings, evidence, and lessons to internal and external audiences.
• Establishing governance and accountability mechanisms for MEL activities with senior leadership and Board oversight.
• Engaging directly with field teams and stakeholders to ensure data relevance and usability.
• Ensuring that MEL processes inform decision-making and foster continuous improvement.

Qualifications:

• Bachelor's degree in Environmental Science, Sustainability, Agriculture, Development Studies, Statistics, or a related field (Master's degree preferred).
• 3-5 years of experience in Monitoring, Evaluation & Learning (MEL), impact assessment, or sustainability roles.
• Demonstrated expertise in data analysis and producing high-quality analytical reports.
• Strong understanding of MEL frameworks, indicator design, and data collection methods.
• Familiarity with ESG frameworks (e.g., GRI, UN SDGs) and sustainability reporting.
• Proficiency in data analysis tools such as Excel, Power BI, or equivalent.
• Experience in field-based data collection, preferably in rural or agriculture projects.
• Excellent written communication and presentation skills.

- Willingness and ability to travel up to 50% of the time, including to rural and international project sites.,