Evaluation Team Lead – Infrastructure Impact Assessment

Banyan Global; Washington, Anacortes (District of Columbia, WA); Remote; USD 80,000 - 110,000; Full time

Job summary

An established industry player is seeking a skilled Evaluation Team Lead to oversee independent evaluations of infrastructure projects across Africa, Latin America, and Southeast Asia. This role requires deep expertise in qualitative research and the ability to lead multidisciplinary teams in challenging environments. The ideal candidate will ensure high standards of ethical research and data quality while identifying key lessons to enhance investment assessment processes. This remote position offers the opportunity to make a significant impact on development initiatives and contribute to strategic decision-making.

Qualifications

• 7-10 years of experience in evaluation, focusing on infrastructure or development finance.
• Proven expertise in qualitative methods and leading analysis for strategic decision-making.

Responsibilities

• Lead the design and implementation of evaluations for infrastructure projects.
• Oversee qualitative data collection and coordinate with experts to synthesize findings.

Skills

Qualitative Research Methods

Evaluation of Infrastructure Programs

Team Leadership

Cost-Benefit Analysis

Stakeholder Engagement

Education

Master's or PhD in Evaluation

Public Policy

Environmental Studies

Economics

Tools

NVivo

Atlas.ti

MAXQDA

Job description

Overview

Banyan Global Introduction: Banyan Global is a development consulting firm, founded on the principle that integrating expertise and experience from the development community and private sector will achieve a broad and lasting impact. Our unique team comprises seasoned private sector and international development professionals. Headquartered in Washington, D.C., Banyan Global maintains staff around the world.

Position Overview: We are seeking an experienced Evaluation Team Lead to oversee the design and implementation of an independent evaluation to assess a portfolio of approximately 15 operational infrastructure projects in Africa, Latin America, and S.E. Asia. These projects vary in type—ranging from greenfield developments to upgrades and expansions of existing infrastructure. The evaluation will examine the benefits generated by these projects to the U.S. government, U.S. businesses, and the host countries where projects are implemented. These infrastructure projects are supported through direct investments, political risk insurance, or via financial intermediaries such as investment funds. The evaluation will employ a combination of qualitative analysis and ex-post cost-benefit analysis (CBA) to answer a set of prioritized questions. The insights from this evaluation will identify gaps in current practices and improving project screening, due diligence, monitoring, and evaluation across the infrastructure project lifecycle. The position is flexible and remote, with travel to project sites in low- and middle-income countries (LMICs).

The ideal candidate will bring deep expertise in qualitative research methods, experience evaluating infrastructure development programs, and a demonstrated ability to lead multidisciplinary teams in low- and middle-income country contexts.

Responsibilities

• Lead the design and implementation of the evaluation, ensuring robust qualitative research and integration with ex-post cost-benefit analysis.
• Guide the development of evaluation frameworks, theory of change models, and data collection tools tailored to infrastructure investments.
• Oversee qualitative data collection and analysis across diverse geographies and infrastructure types.
• Coordinate with subject matter experts, quantitative analysts, and field teams to synthesize evaluation findings.
• Lead the writing of case studies and the final evaluation report, ensuring that findings address prioritized evaluation questions and are presented in a clear, relevant format.
• Identify key lessons, systemic gaps, and opportunities for enhancing investment assessment processes.
• Oversee fieldwork planning, team coordination, and quality assurance processes in diverse and sometimes challenging settings.
• Represent the evaluation team in meetings with stakeholders and local partners.
• Ensure high standards of ethical research, data quality, and team performance.

Qualifications

• Master’s or PhD in Evaluation, Public Policy, Environmental Studies, Economics, or a related field.
• At least 7–10 years of experience in evaluation, with a focus on infrastructure or development finance.
• Proven expertise in qualitative methods (e.g., key informant interviews, focus groups, case studies), with demonstrated ability to lead analysis that informs strategic decision-making.
• Experience evaluating environmental and social impacts of infrastructure investments.
• Proven expertise in qualitative data collection and analysis methods, including use of software (e.g., NVivo, Atlas.ti, MAXQDA).
• Prior work in low- and middle-income countries, particularly on donor-funded or multilateral projects.
• Experience with cost-benefit analysis and integrating qualitative insights into mixed-methods evaluations.
• Excellent communication, team management, and stakeholder engagement skills.
• Strong writing skills with experience producing evaluation reports for donor or multilateral audiences.
• Familiarity with political risk insurance, blended finance, or financial intermediaries.
• Ability to translate complex findings into practical recommendations for institutional learning.
• Multilingual capacity (e.g., French, Spanish, or Portuguese) is an advantage.

Interested candidates should submit their CV and salary expectations by May 19, 2025. No cover letter required. Salary commensurate with background and experience. We will only contact eligible candidates to discuss their availability. Please no phone calls.

Please apply for the position through our website, https://banyanglobal.com/careers/.

Banyan Global does not discriminate against employees based on race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, or gender expression.