Manager, Maximum Impact Incubator

Advanced economic evaluation and cost-effectiveness modelling:

• Independently design, build, and quality-assure complex cost-effectiveness models, including multi-country and multi-domain models, to compare interventions based on impact per dollar spent
• Set the methodological approach for analyses where existing models, data, or precedents don't translate cleanly across countries or program areas, and document assumptions clearly for reuse by others
• Ability to work with and analyse large-scale datasets (e.g., GBD, DHS, national surveys, IHME datasets, implementation cost data) to inform program design and prioritization decisions

Program development, technical leadership, and mentorship

• Support the design and implementation of new pilot programs, including study protocols, key indicators, and monitoring and evaluation frameworks
• Suggest evaluation methodology that may be applicable for each program's needs, drawing on approaches such as randomized controlled trials, difference-in-differences, synthetic control, and other quasi-experimental designs
• Provide technical guidance, mentorship, and quality review to Managers and Analysts on the MII team, covering modelling approach, research methodology, and statistical programming
• Contribute to the continuous refinement of MII's modelling standards and internal best practices, helping ensure consistency as the team's portfolio grows

Stakeholder engagement and donor deliverables

• Translate modelling results into clear, donor-ready deliverables such as concept notes, proposals, and funding recommendations. For example, turning a multi-country, multi-domain cost-effectiveness model into a concept note for a leading global health funder, including a clear narrative on which country-program combinations to prioritize and why
• Engage with donors, policymakers, research institutions, and global health forums to present findings, contribute to external publications, and inform funding decisions
• Collaborate with CHAI country teams and government partners to ensure feasibility and alignment of interventions within national health systems

• Postgraduate degree in economics, public health economics, development economics, epidemiology, or related quantitative discipline
• 7+ years of experience applying quantitative methods to global health or development challenges, including cost-effectiveness analysis, impact evaluations, or health economics
• Demonstrated experience independently building complex cost-effectiveness models from scratch, including models that must be adapted or reconciled across different countries or program contexts
• Exceptional analytical and critical thinking skills, with proven capacity to pressure test complex theories of change
• Experience in evaluation design, tailoring methodologies to diverse contexts to generate actionable insights
• Experience assessing and reconciling data quality issues across large survey and administrative datasets, particularly in multi-country settings
• Strong communication skills, including the proven ability to translate research into policy recommendations and donor-facing deliverables, and to present complex quantitative findings to donors, government stakeholders, and other diverse audiences
• Demonstrated fluency in using AI tools to synthesize information and produce high-quality analytical outputs, paired with the judgment to critically evaluate AI-generated work, identifying where it falls short or gets things wrong, and applying sound human reasoning to correct, refine, and strengthen the final product
• Proven ability to work independently of an ambiguous, early-stage concept, shaping it into a clear vision, aligning a team around that direction, and driving the work through to a donor-ready and senior-leadership-ready final product

Advantages

• Direct experience collaborating with donors in the global health and development space, including drafting concept notes or proposals
• Experience reviewing or quality-checking the analytical work of others, and/or mentoring or informally leading junior analytical staff
• Proficiency in one or more languages spoken in CHAI countries
• Experience implementing a wide variety of programs and/or working with partners (government or non-profit) in at least one CHAI program country

This role is a unique opportunity to apply advanced economic analysis and quantitative rigour to high-impact health interventions in some of the world's most challenging contexts. You will have the chance to work across CHAI's diverse health programs, own technically complex modelling work end-to-end, interact with policymakers and donors, and directly influence how resources are allocated to save lives at scale.

If you have a passion for evidence-driven decision-making, a strong background in quantitative methods, and an eagerness to engage with CHAI's country programs to drive impact, we encourage you to apply.