Senior Manager, Right Fit Evidence

About the role

The (Senior) Manager, Right‑Fit Evidence leads a portfolio of evidence‑ and learning‑focused advisory services, helping implementing organisations, funders and government agencies make data‑driven decisions across development and humanitarian sectors.

Key responsibilities

• Manage the execution of a portfolio of advisory engagements (70‑80% of time), overseeing multiple project teams.
• Serve as primary contact for clients, designing and delivering tailor‑made MEL and evidence solutions across sectors such as education, agriculture, technology and social protection.
• Lead the design, content and delivery of 2‑3 simultaneous engagements, including theory of change, mixed‑methods evaluation design, cost‑effectiveness modelling and data‑use guidance.
• Supervise 1‑2 RFE Advisors on project implementation and technical assistance.
• Advise IPA policy and country office teams on technical assistance, often in partnership with government entities.
• Manage project finances to ensure high‑quality outputs are delivered on or under budget.
• Contribute to business development (10‑20% of time) by shaping new engagement ideas, coordinating proposal development and representing RFE with funders and at events.
• Support innovation and continuous improvement of RFE products and services.

Required profile

• Proven experience managing advisory projects in development or humanitarian contexts.
• Strong background in monitoring, evaluation and learning (MEL) and evidence‑based decision making.
• Experience working with implementing organisations, funders and government agencies across multiple sectors.
• Ability to manage project budgets and deliver outputs within financial constraints.
• Demonstrated capacity to contribute to business development and proposal writing.
• Eligibility to work permanently in Ghana, Côte d’Ivoire, Kenya, Nigeria or Uganda.

Required skills

• Theory of change development
• Learning plan design
• Mixed‑methods evaluation design
• Cost‑effectiveness modelling
• MEL system technical assistance
• Data‑use guidance
• Evidence review