Technical Project Program Manager

We’re looking for an experienced Technical Project Programme Manager to lead multi-stakeholder energy access projects across Africa using GIS and data-driven solutions. You’ll work with governments, donors, and partners to deliver impactful, sustainable electrification and planning outcomes.

What You’ll Do
• Lead and deliver complex energy access projects on time and on budget
• Coordinate with data science and technical teams on GIS-based solutions
• Manage relationships with governments, donors, and development partners
• Facilitate workshops and trainings (primarily in French-speaking countries)
• Ensure high-quality, user-friendly project outputs and reporting
• Lead the planning, coordination, and execution of energy access projects where geospatial

Technical & Geospatial Oversight
• Oversee integration of GIS and data science methods into project design and execution.
• Support the collection, validation, and analysis of geospatial data.
• Collaborate with data science teams to ensure analyses inform decision-making (e.g., least-cost electrification, national electrification strategies and plans, mini-grid viability analysis, etc.)
• Ensure that the technology is used ensuring they are delivered on time, within scope, and on budget.

What You Bring
• Fluency in French & English
• 3–5+ years in energy access projects in Africa
• Strong project management and stakeholder leadership skills
• Familiarity with energy sector planning tools (e.g., electrification models, demand forecasting)
• Familiarity with GIS tools (e.g., QGIS, ArcGIS) and basic understanding of data analysis concepts, and preferably applied experience in Python and/or SQL).
• A technical degree that is in a relevant discipline: Masters Degree in Energy, Environmental Science, Engineering, Geography, Data Science, or related fields.

Bonus if you have the following:
• Experience working in a start-up environment
• Python, R, SQL or Big Query experience
• Experience in or knowledge of electrification models, demand forecasting, energy planning models