
Monitoring, Evaluation, and Learning Lead
1 week ago
We are seeking a highly skilled and experienced professional to lead our monitoring, evaluation, and learning efforts.
- Key Responsibilities:
The successful candidate will be responsible for driving data-driven decision-making and ensuring the robustness of both qualitative and quantitative research processes.
- Technical Engagement & Research Design:
You will collaborate with stakeholders to understand project requirements and participate in technical discussions to define research objectives and methodologies.
- Indicator Identification & Evaluation:
You will lead the process of identifying, evaluating, and finalizing key performance indicators and research objectives aligned with project goals.
- Proposal Development:
You will design and develop comprehensive proposals for Monitoring & Evaluation, Impact Assessment, and Need Assessment studies.
- Capacity Building:
You will lead the training and capacity development of data collection teams, ensuring clarity on methodologies, tools, and ethical guidelines.
- Tool Development & Digitalization:
You will oversee tool translation, finalization of skip patterns, and validation checks, ensuring seamless conversion of paper-based questionnaires into digital formats.
- Implementation & Execution:
You will drive the execution of MEL activities as per project requirements, ensuring timely data collection, adherence to protocols, and efficient field operations.
- Data Management & Analysis:
You will supervise data review processes, including cleaning, validation, and analysis, ensuring the integrity and accuracy of datasets.
- Reporting:
You will lead the preparation of high-quality reports, translating complex data into actionable insights for stakeholders and corporate partners.
- Consultant & Stakeholder Management:
You will effectively manage external consultants and internal teams, fostering collaboration, performance tracking, and alignment with project objectives.
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Machine Learning Engineer
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Senior Machine Learning Architect
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Chief Machine Learning Architect
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