Senior Programme Associate ( RAM & Evaluation )

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About the Organization

The United Nations World Food Programme is the 2020 Nobel Peace Prize Laureate. We are the world’s largest humanitarian organization, saving lives in emergencies and using food assistance to build a pathway to peace, stability and prosperity for people recovering from conflict, disasters, and the impact of climate change.

Job Description

Under the supervision of the Head, RAM and Evaluation Unit, this position supports the M&E/VAM Team by coordinating and executing policy, programme, and research activities. Key responsibilities include monitoring and evaluation, research studies, analytical work, and preparing high-quality reports and reviews. The role leverages AI and ML tools to enhance data analysis, evidence generation, and overall effectiveness in advancing organizational goals, particularly in food and nutrition security, while independently managing a wide range of technical and specialized tasks.

Job Responsibilities

• Provide specialized expertise and contribute to the undertaking of various evaluation and research studies and results documentation within the ongoing projects of World Food Programme through designing and planning the study, finalization of data collection tools, undertaking training of enumerators, tabulation, analysis, and report writing.
• Support the exploration and application of AI and ML solutions for strengthening food and nutrition security analyses, developing predictive analytics, automating of data processing, etc. Contribute to integrating AI/ML-driven insights into monitoring, evaluation, and research workflows to enhance efficiency, accuracy, and evidence-based decision making within WFP’s programmes.
• Provide efficient coordination and specialized research and analyses support to a range of specific and/or defined policy, programme, and operational activities to ensure data inputs in development of policies, programme, and activities, through literature review on food and nutrition security and related schemes and analysis of secondary data including data/information flowing to/from various government portals on a periodic basis.
• Foster relationships and support partnership building with local partners, NGOs, agencies, and government institutions to perform analyses and work on food security, nutrition, and poverty sectors data. Effective coordination with various stakeholders including governments/departments and from the various line departments/ministries to prepare analytical papers and feedback.
• Coordinate and liaise with internal counterparts on a range of complex matters to enable effective collaboration, implementation and monitoring of project activities.
• Contribute to the completion of the M&E requirements of the Country Office and Headquarters by the preparation of accurate and timely variety of reports on programme and activities to enable informed decision making and consistency of information presented to stakeholders.
• Follow data and information gathering and monitoring systems ensuring that rigorous quality standards are maintained and information for secondary research, contributing to publications and conduct small scale research that creatively interprets and adds value to existing evidence.
• Analyse information of secondary national data sources including NSSO, NFHS, CNNS, Census, etc., and prepare briefs, updates based on new research and findings for reference.
• Support the capacity building of WFP staff, cooperating partners, and national and state governments in the related field of activity by applying range of guidelines/ practices.
• Provide advice, guidance, and training to ensure individual and team objectives are delivered to agreed standards and deadlines.
• Contribute to organization of structured programme reviews (quarterly, bi-annual and annual), preparation of annual plans and performance monitoring on ongoing basis.
• Other duties as required.

Functional capabilities

• Demonstrates excellent knowledge about food security and nutrition issues and is familiar with government policies and data sets on food security and nutrition.
• Demonstrates familiarity with the application of AI and ML tools to strengthen data analysis, predictive modelling, and evidence generation in the development/ social sector initiatives.
• Demonstrates ability to analyse, visualize and interpret data to contribute to technical programme design, implementation, and monitoring.
• Demonstrated ability to design and conduct surveys, preliminary scoping on upcoming research areas, to produce research material and organize technical consultations.
• Capacity to communicate effectively orally and in written formats to a variety of audiences.
• A natural discussion partner for both younger and more established academics.
• Works effectively and collaboratively in support of building a team-based culture of work.

Education Qualification/Required Skills & Experience

• Completion of secondary school education. Graduation in Economics/ Demography/ Population Studies/ Social Science, or other field relevant to international development assistance is desirable.

Experience:

• Minimum seven or more years of progressively responsible work experience in the related stream in research environment relevant to the field of food security, nutrition, poverty, livelihood, health, and related areas, including undertaking various monitoring and evaluation related activities, research studies and analytical work using modern analytical software such as R/ Python/ Google Colab/ Stata/ SPSS.
• Experience in working on AI and ML tools for development/ social sector research, evaluations, assessments, or monitoring.
• Experience in writing concept notes and proposals for various research projects.
• Experience in providing inputs into designing studies and programmes and has provided inputs for policy discussions

Knowledge & tools:

• High level of proficiency with MS office package. Knowledge of GIS tools such as QGIS, ArcGIS and data visualization tools such as Tableau will be useful. Knowledge of coding for developing AI/ML solutions will be an added advantage

Language

• Excellent oral and written communication skills in English. Working knowledge of Hindi is preferred

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