Key Responsibilities

Provide programme leadership, including oversight and supervision of monitoring, evaluation, learning and data management personnel.
Support the design and implementation of the programme’s strategic objectives and activities, ensuring alignment to FCDO policy and Chemonics policies and procedures.
Support the Team Leader in liaising with FCDO, Implementing Partners being evaluated, Somali government counterparts and other key stakeholders .
Support the Team Leader in drafting and quality assuring programme deliverables, including regular programme reports.
Lead on drafting workplans and data collection plans and ensure that plans are implemented accurately, effectively and to schedule.
Manage and coordinate the work of programme personnel, subcontractors, and grantees, with a focus on performance management.
Work with operations team to arrange logistics and risk management for monitoring and evaluation activities.
Address issues and mitigate risks related to programme implementation in a timely manner, appropriately adjusting project approaches as required.
Complete other related tasks, as requested by the Team Leader or Programme Director.

Qualifications

At least six (6) years of relevant experience working on donor-funded projects in a related role, with demonstrated supervisory experience.
Experience managing large and complex international development/MEL programmes, with demonstrated ability in managing dispersed teams in-person and remotely.
Demonstrated knowledge of MEL from a technical and operational perspective.
Experience supporting teams to overcome data collection hurdles in FCAS environments desirable.
Knowledge of FCDO Monitoring, Evaluation and Learning preferences, and best practice in ethical and innovative MEL.
Experience working in developing countries is required, specifically in a fragile or conflict affected environment.
Experience working in Somalia preferred.
Excellent communication and writing skills in English.
Willingness to work for extended durations in Somalia.
  • Data Science
  • Research