Director of MEAL

Imagine Worldwide

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

About the Company

Imagine Worldwide’s mission is to empower millions of children across Sub-Saharan Africa with the literacy and numeracy skills they need to reach their full potential. We provide an innovative education technology solution and implementation model to the global literacy/numeracy learning crisis.

Responsibilities

  • Oversee MEAL frameworks, indicators, and measurement plans across countries
  • Own and refine the Theory of Change to align monitoring and evaluation with learning outcomes
  • Develop and maintain Master Data Management (MDM) definitions, standards, and reporting rhythms
  • Lead the development of dashboards, performance reports, and analytic models for delivery teams
  • Oversee statistical analysis, segmentation, forecasting, and experimental design
  • Translate data insights into clear narratives and visualizations for leadership, donors, and government stakeholders
  • Build organization-wide data literacy and mentor staff in data analysis and strategic thinking

Requirements

  • Honours Degree or Post Graduate Diploma in Data Science, MEAL, or related fields (Master's preferred)
  • Minimum 10 years of experience in data-related roles
  • At least 5 years in a senior leadership role implementing enterprise data management interventions
  • Proven experience in data management and working with impact metrics
  • Experience building data-driven cultures and working with remote/hybrid international teams
  • Proficiency in data analysis, data cleaning, and data quality frameworks
  • Strong communication and storytelling skills for technical and non-technical audiences

Preferred Qualifications

  • Experience working in the non-profit or social sector

Skills & tools

Data ScienceData Management

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Honours Degree or Post Graduate Diploma in Data Science or MEAL
  2. 0210+ years in data-related roles
  3. 035+ years in senior leadership
  4. 04Proficiency in data analysis and cleaning
  5. 05Experience with remote/hybrid international teams
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