• 1. Program Insights & Learning Integration • Lead the synthesis of program insights from various data sources, including Baseline Household Survey, Annual Household Survey, Standards Evaluation, and Check-ins. • Translate complex analytical findings into clear, actionable insights for different stakeholders. • Facilitate reflection and learning sessions across teams to foster evidence-based program adaptation. • 2. Experimental Designs & Pilots • Lead the design and oversight of critical learning experiments, pilots, and restricted projects. • Define learning agendas, contribute to the development of experiment frameworks and ensure proper data capture for all pilots. • Synthesize and ensure documentation of key learnings to inform strategic decisions and promote scaling of successful interventions. • 3. Cross-Team Collaboration • Serve as the learning and feedback bridge between the Venn and Applied Learning. • Contribute to discussions regarding tool development and dashboard refinement and program measurement improvements. • 4. Team Leadership • Manage, mentor, and support the professional growth of the Research and Data Analysts. • Provide effective coaching, performance management, and opportunities for professional development. • Promote a collaborative, high-performance, and outcome-oriented team culture. • 5. Evidence for Reporting & Partnerships • Contribute significantly to funder reporting by generating insightful analyses and packaging compelling evidence. • Ensure high-quality documentation of results from experiment tests, restricted projects and learning pilots. • Support engagement with external stakeholders through data-driven presentations and reports.

• Bachelor’s degree in Statistics, Economics, Data Science, M&E, or related field (Master’s preferred). • Minimum 5 years’ experience in program monitoring, evaluation, and learning in the development sector. • Proven leadership in managing multi-disciplinary teams and fostering a learning culture. • Strong communication skills for technical and non-technical audiences, including executive leadership and donors. • Strategic thinking, adaptability, and high attention to detail • Technical Requirements • Strong skills in statistical analysis and data visualization (Stata, R, Python, Power BI, Tableau). • Expertise in designing and managing MEL systems, outcome tracking, and learning frameworks. • Experience with impact measurement methods, including experimental and quasiexperimental designs. • Ability to translate qualitative and quantitative data into actionable insights