The Senior Associate – Learning & Optimization drives the organization’s learning agenda by designing and coordinating rapid tests, analyzing results, and helping teams integrate evidence into decision-making. The role strengthens how Shamiri improves interventions, delivery systems, and tools through structured experimentation and continuous learning.

As an evidence-driven organization, Shamiri must continually refine its interventions, delivery processes, and tools based on real-world data. Doing this well requires:

Roles and responsibilities

Learning Agenda & Experiment Design

• Support development of the organization’s annual learning agenda.
• Translate learning questions into testable hypotheses and practical experiment designs.
• Design small-scale tests, A/B experiments, workflow pilots, and fidelity improvement trials.
• Collaborate with service delivery, tech, clinic, and product teams to refine testing priorities.

Experiment Implementation & Coordination

• Lead coordination of pilots and experiments across hubs, clinics, and digital tools.
• Create clear SOPs, test protocols, and data collection plans.
• Train field teams, supervisors, or clinicians on implementation procedures.
• Monitor fidelity to testing protocols and adjust as needed.

Data Analysis & Insight Generation

• Clean, analyze, and synthesize data from experiments and learning cycles.
• Prepare clear summaries, dashboards, and learning briefs for internal teams.
• Translate findings into practical recommendations.
• Identify patterns or signals that warrant additional testing or refinement.

Learning Cycles & Cross-Team Integration

• Facilitate learning cycles with Delivery, Tech, Product, and Research teams.
• Present insights in accessible formats for decision-making.
• Ensure teams understand testing results and adapt workflows accordingly.
• Document learnings for institutional knowledge.

Measurement Improvements

• Identify gaps in measurement systems and propose improvements.
• Support refinement of fidelity tools, outcome assessments, and operational metrics.
• Collaborate with the Data & Measurement Pod where needed.

Project Management

• Manage timelines, workplans, and coordination for multiple concurrent experiments.
• Track progress and ensure timely delivery of learning outputs.
• Maintain documentation, protocols, and version control.

Key competencies

• Strong analytical skills (quantitative + qualitative)
• Experience designing and coordinating research or evaluation activities
• Ability to translate data into clear action-oriented insights
• Excellent communication and facilitation skills
• Strong organizational and project management skills
• Comfort working across multiple teams and disciplines
• Curiosity, adaptability, and a continuous-improvement mindset

Qualifications

• Bachelor’s or Master’s degree in statistics, psychology, behavioral science, public health, education, economics, or related fields
• 3–5+ years of experience in applied research, evaluation, or program learning roles
• Experience coordinating pilots or tests in real-world settings
• Familiarity with data analysis tools (Excel, R, Stata, or similar)
• Experience working in youth development, mental health, or education is an advantage

• Support development of the organization’s annual learning agenda.
• Translate learning questions into testable hypotheses and practical experiment designs.
• Design small-scale tests, A/B experiments, workflow pilots, and fidelity improvement trials.
• Collaborate with service delivery, tech, clinic, and product teams to refine testing priorities.
• Lead coordination of pilots and experiments across hubs, clinics, and digital tools.
• Create clear SOPs, test protocols, and data collection plans.
• Train field teams, supervisors, or clinicians on implementation procedures.
• Monitor fidelity to testing protocols and adjust as needed.
• Clean, analyze, and synthesize data from experiments and learning cycles.
• Prepare clear summaries, dashboards, and learning briefs for internal teams.
• Translate findings into practical recommendations.
• Identify patterns or signals that warrant additional testing or refinement.
• Facilitate learning cycles with Delivery, Tech, Product, and Research teams.
• Present insights in accessible formats for decision-making.
• Ensure teams understand testing results and adapt workflows accordingly.
• Document learnings for institutional knowledge.
• Identify gaps in measurement systems and propose improvements.
• Support refinement of fidelity tools, outcome assessments, and operational metrics.
• Collaborate with the Data & Measurement Pod where needed.
• Manage timelines, workplans, and coordination for multiple concurrent experiments.
• Track progress and ensure timely delivery of learning outputs.
• Maintain documentation, protocols, and version control.

• Strong analytical skills (quantitative + qualitative)
• Experience designing and coordinating research or evaluation activities
• Ability to translate data into clear action-oriented insights
• Excellent communication and facilitation skills
• Strong organizational and project management skills
• Comfort working across multiple teams and disciplines
• Curiosity, adaptability, and a continuous-improvement mindset
• Familiarity with data analysis tools (Excel, R, Stata, or similar)

• Bachelor’s or Master’s degree in statistics, psychology, behavioral science, public health, education, economics, or related fields
• 3–5+ years of experience in applied research, evaluation, or program learning roles
• Experience coordinating pilots or tests in real-world settings
• Familiarity with data analysis tools (Excel, R, Stata, or similar)
• Experience working in youth development, mental health, or education is an advantage