Executive Vice President, Evidence

Oversee the technical and strategic aspects of our evidence teams, ensuring MLE, cost-effectiveness modeling, and epidemiology connect into a single, coherent picture that informs day-to-day program improvement and major decisions, rather than separate streams of analysis.

In collaboration with GLT and program leads, set a cross-program evidence strategy, defining the questions Evidence Action is answering across its portfolio, matching the right methodological approaches and connecting evidence to both delivery and organizational learning.

Serve as a technical thought partner to teams across Evidence Action, making evidence more readily visible and actionable across the organization, evolving our cost-effectiveness tooling to enhance visibility into what drives cost-effectiveness and shortening the feedback loop between realized costs and impact and our projected impact.

Champion evidence across a program’s lifecycle, ensuring we're designing the right evidence generation to feed lessons into scaling decisions and evolving our cost-effectiveness tools so organizational leaders understand what drives cost-effectiveness and we can actualize modeled impact.

Institutionalize monitoring and learning (e.g. A/B testing) in programs so performance keeps improving well beyond launch.

Sharpen where Evidence Action’s own evidence generation is uniquely valuable versus where other partners are better placed.

Understand how different evidence sources come together across programs to model our impact, and establish and enforce minimum standards for addressing weak evidence, uncertainty, and assumptions in that modeling.

Design and implement the systems that let us review evidence consistently across our portfolio, including program stage gates and structured evidence and programmatic reviews at key decision points.

Own data quality assurance so it is structurally independent from evidence generation, setting methodology standards, commissioning re-surveys and integrity checks, and surfacing issues early and transparently.

Provide evidence-based recommendations that inform program scale-up, ongoing iteration, and wind-down decisions, holding a strong voice in those decisions while partnering with program and regional leaders who bring essential local context.

Build internal technical management capacity that benefit our programs

Lead a multi-disciplinary function through consolidation and change, building trust across MLE, cost-effectiveness, and epidemiology teams and bringing our people along through a significant transition.

Identify where AI and modern data tools can strengthen evidence generation and decision-making at scale.

Serve as a senior organizational voice on evidence, engaging donors, the board, and technical partners on our evidence philosophy, methodological choices, and standing evaluation arrangements.

Champion a transparent culture that shares learning; including learning from what does not work, both inside the organization and with the relevant external stakeholders.

We are looking for a leader with rigorous technical training who has spent much of their career as a user and steward of evidence in real implementation settings, not primarily as an academic researcher.

The courage to act on evidence. You are willing to surface uncomfortable findings to senior leadership and to recommend a change of course when the evidence calls for it.

Technical leadership and management at scale. You have led similar technical teams, upholding quality assurance, in low- and middle-income country contexts with a grounding in operational rigor.

Program-implementation grounding. You pair academic research expertise with genuine operational experience, so you lead as an insider rather than from a distance.

Technical credibility and range. A PhD or equivalent quantitative expertise that lets you judge the quality of evidence produced, hold teams to a high technical bar, draw on a range of analytical methods, and speak with authority alongside senior technical staff and external partners. Must have a background in cost-effectiveness or health economics, or the judgment to bring in the right experts.

A strong leader of teams and change. You can conceptualize change management and bring people along, delegate across a large scope, and build trust across teams and cultures.

This is not an audit or compliance role. This role is intended to build the systems and structures that reinforce the appropriate generation and application of evidence as programs evolve, so evidence becomes more than just a box we check.

This is not a publication engine. External research is not the primary goal of this work.

This is not a remote or distant role. Field presence and proximity to implementation are design requirements.