Senior Associate, MLE Strategy

Summary

Join Evidence Action's MLE Strategy team and contribute to the optimization of global health programs. You will design MLE frameworks, conduct analyses, and coordinate activities to ensure effective program implementation and evaluation. Collaborate with global and regional teams to develop strategies and plans, implement data quality systems, and document best practices. This role requires experience in M&E framework development, implementation research, and data analysis using statistical software. The position is based in Washington, DC, but remote work within the US is possible, with potential for international travel. Evidence Action offers a competitive salary and comprehensive benefits.

Requirements

• Hold a Bachelor’s or above degree with coursework in quantitative subjects, such as economics, statistics, or epidemiology
• Have at least 1 year of demonstrated experience developing M&E frameworks and plans, conducting implementation research, and applying M&E concepts
• Have experience analyzing large qualitative and quantitative datasets using statistical software such as Stata or R
• Be willing to work variable hours to overlap with colleagues located in other Evidence Action geographies
• Be a collaborative team player that works well with others to achieve project goals
• Be able to monitor and adapt work plans to approach new problems as they arise
• Be legally authorized to work in the U.S

Responsibilities

• Contribute to and adapt program MLE strategies and plans, including theories of change, KPI frameworks, sampling plans, and evaluations
• Contribute to formative or implementation research plans and early-stage program scoping, including drafting briefs for new or expanding programs
• Coordinate strategy and plan development with a range of stakeholders at global and regional levels
• Coordinate MLE support for programs, including work plan development and milestone tracking
• Design and provide support to MLE activities, including drafting protocols, conducting sample calculations, drafting quantitative and qualitative data collection tools and conducting data analysis
• Help develop and implement data quality and assurance systems to assess data quality in real-time, such as high-frequency checks, back checks, and quality analysis
• Help document MLE best practices and facilitate lesson sharing across Evidence Action geographies
• Support compliance with MLE quality requirements and guideline documents
• Contribute to cross-cutting projects that strengthen and further the goals of the MLE team
• Support team-wide initiatives and events, including leading or participating in working groups and contributing to or planning team workshops

Preferred Qualifications

Base location in Washington, DC

Benefits

• International health care
• HSA/FSA options
• Life insurance
• Disability coverage
• Retirement plans with a matching component
• Generous and flexible leave options
• Other employee perks on a reimbursement basis