Generation is seeking a Monitoring, Evaluation, and Learning Specialist to support the design, execution, and management of Generation’s global Monitoring, Evaluation, and Learning (MEL) agenda. You will be joining the rapidly growing Data & Impact team within Generation, with a pivotal role to play in helping us measure and assess our impact on the lives of thousands of job-seekers, their families, and communities around the world.
The Monitoring, Evaluation, and Learning Specialist will report directly to the Global Director of Data & Impact. This role requires significant remote collaboration with up to 20% travel. Strong preference for the role to be based in either Washington, DC or London, UK, where our regional team hubs are located.
Interested applicants should submit a resume and cover letter by email to email@example.com with ‘Monitoring, Evaluation, and Learning Specialist’ in the subject line. Please apply by January 31, 2020.
To be successful you'll need:
Required experience and skills:
- Bachelor’s degree in economics, statistics, policy, management, or a related field
- 2-5 years experience in research, evaluation, analytics, or program management
- Successful track record in developing, implementing, and supporting a range of MEL systems and tools for international teams
- Extensive project management experience within complex program delivery models
- Strong quantitative and qualitative analytics skills, including knowledge of data analysis software (e.g., Excel, Alteryx, SPSS, Stata) and data visualization software (preferably, PowerBI)
- Excellent verbal and written communication skills, with the ability to build trust-based relationships and influence across diverse stakeholders (e.g., program staff and beneficiaries; delivery partners; senior management)
- Experience living or working internationally, preferably across multiple geographies
Preferred experience and skills:
- Master’s degree in economics, statistics, policy, management, or a related field
- Project management certification
- Advanced statistical knowledge (e.g., R, Python)
- Fluency in additional languages beyond English (particularly in languages from our Generation teams: Spanish, Portuguese, French, Italian, Hindi, Urdu, Swahili, Cantonese)
- Deeply committed to Generation’s mission and values
- Excited by the idea of working in a fast-moving, early-stage nonprofit, balancing the opportunity to engage in a wide range of work with the necessary adaptability and flexibility to do so
- Proactive collaborator, willing to propose solutions and ideas to challenges based on expertise, debate their merits, and make final recommendations
- Self-reflective and open to receiving and giving frequent feedback
- A self-starter with a strong work ethic who can thrive in a remote work environment
- A positive, solutions-oriented attitude, drive for excellence, and ability to be a team player
- An entrepreneurial spirit, embracing the opportunity for creativity and hard work inherent in an early-stage organization
- A strong sense of ownership (e.g., takes personal responsibility for meeting objectives) and timeliness
- Data-informed approach in presenting, influencing, and informing decisions
What you'll do:
The Monitoring, Evaluation, and Learning Specialist will support and lead a variety of initiatives to refine and expand Generation’s MEL agenda. In particular, 2020 will be an exciting year for Generation, as we begin on our first multi-site external evaluation. We plan to conduct an outcomes evaluation across five of our geographies, followed by an impact assessment (e.g., randomized control trial, quasi-experimental design).
Support for external evaluations
- Manage the day-to-day coordination between Generation teams (global leadership and Data & Impact team, as well as in-country local staff) and external evaluation partners
- Help develop and refine the research questions, methodology, data collection and analysis practices, internal and external program research, and communication of final results/insights
- Provide administrative and technical support to Generation in-country staff throughout the evaluation, e.g., coordinating data collection efforts, conducting data quality analysis
Creation, maintenance, and implementation of program monitoring & evaluation
- Assess and refine Generation’s current global and local M&E systems and processes, including program evaluation methodologies, data collection procedures, and codification of learnings
- Train and advise Generation staff in the use and implementation of MEL tools and processes (e.g., logic models, evaluation frameworks)
- Build a community of practice across Generation by standardizing, codifying, and communicating best practices for data collection, management, and analysis to our program teams
Analysis and reporting
- Support Director and program staff with reporting requirements, including MEL narratives, data visualization, results reporting, and additional analysis and charting for external reporting
- Respond to data requests from Generation staff, donors, and other internal/external stakeholders in a timely manner
- Regularly analyze results and trends within data for monitoring program operations, evaluating outcomes, and codifying institutional learning
Worldwide, more than 75 million young people are unemployed. But many employers can’t find people with the skills they need for entry-level jobs. Generation was created in 2014 to help bridge this gap—at speed and scale.
We’re building a skills-training methodology that can serve hundreds of thousands, and eventually millions, of young people a year. And we’re building proof that this training creates real business outcomes for employers, and lasting career impact for trainees—so everyone has the incentive to invest in skills. Our goal is to help our students achieve personal and professional success—and fundamentally change their life trajectories. Generation programs prepare unemployed or underemployed young people, aged 18 to 29, for jobs in four sectors: healthcare, technology, retail/sales, and skilled trades.
Today, Generation is active in twelve countries—101 cities and 280 sites—with diverse social, economic and labor-market contexts.