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IDinsight

Designs and deploys evidence-generating tools.

Cost-Effectiveness Unit Lead & Economist 1/2

Operations & Supply Chain ConsultingConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • An advanced degree in economics, public policy, or a related field is required, with a Master's degree as the minimum.
  • At least 5 years of experience in cost-effectiveness or cost-efficiency analysis, or closely related work, preferably in international development.
  • Demonstrated experience building cost-analysis systems and frameworks within complex organizations.
  • A track record of translating economic analysis into operational decisions and organizational change.
  • Experience working with large implementing organizations, including NGOs, governments, or multilaterals.
  • Strong skills in cost modeling, sensitivity analysis, and financial analysis.
  • Proficiency with statistical software such as Stata or R, and advanced Excel.
  • Experience managing projects and teams.
  • Ability to engage technical and non-technical audiences through communication.

Responsibilities

  • Cultivate the Cost-Effectiveness Unit into a sustainable practice area within IDinsight, including onboarding and aligning with existing senior leadership.
  • Develop service offerings in cost-effectiveness audits, lean intervention design, cost-efficient implementation support, and technology-enabled resource allocation.
  • Create standardized methodologies, tools, and frameworks that can be adopted across the sector.
  • Build a team over time if a robust pipeline justifies additional hires, including recruiting and/or training teammates with cost-effectiveness expertise.
  • Develop public goods, including practical guides, templates, and case studies.
  • Identify and develop opportunities with partners where cost-effectiveness work could yield high returns, particularly complex multi-country implementers.
  • Lead engagements with organizations such as Pact, CARE, Living Goods, and other large international NGOs to embed cost-effectiveness thinking into their operations.
  • Work with partners throughout the project lifecycle, from ideation and design through implementation, not only at the evaluation stage.
  • Build relationships with funders interested in cost-effectiveness to secure project funding from the broader development community.
  • Lead cost-effectiveness analyses that synthesize existing program data to establish baselines and identify optimization opportunities.
  • Facilitate lean intervention design processes, including Theory of Change workshops and rapid A/B testing to identify lower-cost configurations that maintain impact.
  • Design and implement cost-monitoring systems that enable adaptive management and continuous improvement.
  • Collaborate with the Data Science, Engineering, and Machine Learning team to leverage artificial intelligence and machine learning for cost optimization.
  • Develop cost models and conduct sensitivity analyses across multiple countries and contexts.
  • Contribute to sector-wide discussions on cost-effectiveness methodology and practice.
  • Publish frameworks and findings from IDinsight's cost-effectiveness work.
  • Potentially support revival of practitioner-oriented cost-effectiveness communities of practice.
  • Represent IDinsight at conferences and with donors on cost-effectiveness topics.

Desired Qualifications

  • Experience with lean program design and rapid-cycle testing methodologies.
  • Knowledge of artificial intelligence applications for cost optimization and efficiency.
  • Experience developing public goods or sector-wide tools.
  • A track record of securing funding for analytical work.
  • Experience working across multiple countries and contexts.
  • French fluency for West Africa engagement.

About the Company

IDinsight

Designs and deploys evidence-generating tools.

IDinsight helps leaders combat poverty by designing, deploying, and promoting evidence-generating tools tailored to partner needs. Its products include experimental evaluations, monitoring systems, data analytics and visualization, process evaluations, and machine learning to generate timely, actionable information for governments, NGOs, foundations, and social businesses across Africa and Asia in health, education, agriculture, livelihoods, finance, energy, and governance. The company delivers rigorous, cost-effective, and demand-driven solutions, ensuring every dollar spent on data work supports impact and aligns with client decision deadlines. Its approach blends evidence with action in nearly two dozen countries, with a team of over 150 staff. The goal is to help clients fuse robust data insights with program decisions to reduce poverty and improve outcomes.

Company size
201-500
Company stage
Grant
Total funding
$1.1M
Headquarters
Port-au-Prince, Haiti
Founded
2003

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