Sr Lead, Research & Evaluation

The AI Education Project (aiEDU) is a non‑profit devoted to making sure that all students are ready to live, work and thrive in a world where AI is everywhere. We work with education systems to advance AI literacy and AI readiness through high quality curriculum, professional development, and strategic partnerships with states, school districts, and other systems.

The Research & Evaluation Senior Lead role is responsible for leading the research and impact measurement s person will be responsible for developing our programs and learning research strategy, developing research approaches to measure our impact and managing our impact data and organizational dashboards. We have ambitious goals on quality and reach of our programs and this role will be an essential part of how we measure our overall impact.

As a member of the Programs team, the Research & Evaluation Lead is a critical leader in our impact strategy and supporting our teams in setting data‑backed priorities.

This role will report to the Chief Program Officer.

• Location:
  
  Remote
• Compensation:
  The compensation for this role is $125,000-$135,000
• Benefits:
  We offer a comprehensive benefits package, including full health, dental, and vision for you and any dependents, plus life insurance, short‑term and long‑term disability insurance, flexible work hours and location, flexible paid time off, paid parental leave, a generous annual stipend for home office expenses and professional development, and a 401k match of 4% vested immediately. For more details regarding our benefits, visit: aiedu.org/careers
• Start date:
  
  We’d like a candidate to start as soon as possible after receiving an offer, though there is some flexibility.

Research and Evaluation Strategy and Innovation:

• Develop research agenda aligned with a logic model for our organization’s impact
• Identify, establish and lead internal research projects alongside our learning and programs team
• Identify, design and manage limited external research studies including focus areas, evaluating partners and ongoing data collection and analysis
• Develop innovative ways to collect data and describe our impact including survey and observational tools, deep case studies and new metrics

Impact Data Management & Analysis

• Establish key impact metrics, build systems to gather and analyze data for these metrics
• Lead team through analysis and extraction of insights from large, multi‑dimensional data sets generating useful conclusions and actionable recommendations for department leaders and management team
• Ensure all reporting needs for metrics for grants are met and delivered on time for grant deliverables
• Be a champion of data integrity across the organization to ensure objective reporting
• Develop and manage databases and connect data sources to each‑other, implementing new tools and solutions, especially AI driven, that allow us to store and analyze new data sources and join to our existing data sources in new ways
• Design and develop innovative reporting that enables department leaders and other teammates to analyze and extract insights from large data sets; manage uptime of all recurring reporting and scripts

Our ideal candidate will have the following:

• Have 8+ years' experience in data analysis leadership or program evaluation roles in education or technology companies
• Have strong experience with survey design and research/evaluation design
• Experience setting up and managing data management software (Airtable experience is a plus!)
• Experience using AI tools to accelerate impact analysis and data management
• Technical fluency with AI vibecoding
• Experience using educational data and the regulations around data privacy in schools
• Communicates effectively across departments and levels
• Attention to detail and focus on data accuracy and integrity
• Strong prioritization skills; eager to work on many different tasks and projects at once
• Pro‑active problem solver, especially in developing efficient and unique ways to establish and communicate impact using technology

Studies have shown that women and people of color are less likely to apply for jobs unless they believe they meet every one of the…