Manager, Allocation & Modelling - GL E (Defined Duration)

About the role

The Manager, Allocation and Modelling leads the Global Fund's allocation methodology and strategic modelling capabilities, so that quantitative evidence informs how resources are prioritized and invested. The role covers allocation, portfolio optimization and disease-specific modelling, and leads the development, implementation, evolution and reporting of the allocation methodology, which runs on a three-year cycle and sets funding for eligible country disease programs. It is based in Geneva and is a defined-duration position until December 2029.

Key responsibilities

• Lead and develop the allocation and strategic modelling capability, set priorities and manage demand and capacity flexibly
• Lead the allocation methodology, including scenario analysis, Board and Strategy Committee approval, the allocation formula and qualitative adjustments, and oversee end-to-end allocation execution and reporting
• Advise senior leadership and governance on investment choices and represent the Secretariat with governance and external technical partners
• Lead disease-specific and cross-portfolio modelling, triangulating internal analysis with external models and evidence, and contribute to the Investment Case
• Build in-house modelling capacity and establish a demand-driven approach, reducing reliance on externally commissioned analysis
• Drive innovation, including the responsible use of AI and emerging analytical tools, with quality assurance
• Lead and develop the Allocation & Strategic Modelling team, and track and report the allocation financial waterfall

Required profile

• Advanced university degree (Master's or equivalent) in health economics, public health, economics, international/public affairs or another quantitative discipline, or an equivalent combination of qualifications and experience
• Significant experience leading quantitative and qualitative analysis, modelling or scenario development to inform resource allocation and investment decisions in a global health or development context
• Demonstrated experience developing analytical approaches and supporting decision-making at different levels
• Strong experience in global health financing and investment prioritization, with knowledge of malaria, tuberculosis or HIV/AIDS or health systems strengthening

Required skills

• Experience using or overseeing digital tools such as Excel modelling, Python or other quantitative modelling tools, with enough technical understanding to give direction and quality assurance
• Experience working with technical partners and modelling groups