Team Lead – Analytics and Evidence for Diets and Nutrition

22 set - Roma
GloJobs

Team Lead – Analytics and Evidence for Diets and Nutrition

GloJobs analysis estimates · not the employer's figures

Supervise strategic stakeholder engagement at global and national levels, including mapping partners with expertise in AI, data science, and digital public goods relevant to nutrition and diet analytics.

Liaise with Regional and Country Office teams to define analytical needs, timeframes, ToRs, workplans and budgets;

Develop internal and external communication plans to share learning and progress of WFP’s nutrition and diet analytical work;

Provide strategic direction for partnerships with academic and technical institutions (e.g. University of Nottingham, LSHTM, UC Davis), including collaboration on AI‑enhanced methodologies, validation approaches, and applied research.

Manage donor relationships with WFP Partnership’s team, with regular technical meetings, reporting and provision of updates.

Team Management

Lead and manage multidisciplinary teams, including the planning, prioritisation,



and delivery of outputs that integrate advanced analytics and AI‑enabled tools for nutrition and diet analytics to enhance efficiency, quality assurance, and scalability.

Provide direct supervision, coaching and performance management for team members to ensure appropriate development and enable high performance;

Manage budgets and resource allocation in collaboration with the Finance Officer, Partnerships Counterparts, Senior Nutrition Advisor, Chief of Nutrition and PGRS Director.

Lead Strategic Communication, Visualization, and Uptake of Evidence

Guide the effective communication of analytical methods, results, and implications to senior national and international audiences, including at high‑level policy and technical fora;

Oversee the translation of complex analytical outputs into accessible, decision‑focused visualizations, working in close partnership with the RAM HungerMapLive team to ensure high‑quality integration of sub‑national data within an i

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