Technical Lead - AI EdTech in Emergencies

Qualifications and Work Experience:

• A Postgraduate degree in education
  
• Minimum of 5-7 years of directly relevant professional
  
• Strong theoretical and practice-based background in the field of education of emergencies and EdTech
  
• Proven track record of managing and delivering projects in the education sector across multiple contexts and involving partnerships
  
• In-depth understanding of INEE’s ways of working and role in the EiE sector
  

Demonstrated Skills and Competencies:

• Strong understanding of evidence-based approaches to and research on EiE and EdTech
  
• Ability to be flexible and work well independently, virtually and under pressure, and in a fast-paced environment
  
• Excellent analytical and writing skills: the ability to draft briefs, reports, and syntheses;
  
• Excellent interpersonal skills: the ability to successfully interact with a variety of people, notably decision makers in EiE
  
• Excellent communication skills, both verbal and written in English. Ability to work in another INEE language is desirable
  
• Willingness to travel 10% to challenging field locations
  

Major Responsibilities

In alignment with INEE’s Strategic Framework and New Operating Model and in close collaboration with the INEE Secretariat, major responsibilities for this role include:

• Lead INEE’s work on the Quality Assurance Facility for AI Edtech in Emergencies, including project management and technical leadership
  
• Provide expert technical input and guidance to the development of components for quality assuring AI EdTech including benchmarks and rapid evaluations aimed at defining what “good” looks like in AI EdTech in Emergencies and delivering decision-grade evidence
  
• Contribute subject matter and policy expertise on distinct thematic areas of Education in Emergencies to the QA Facility for AI in Emergencies, such as Mental Health and Psychosocial Support (MHPSS), School Safety, and/or Accelerated Education in Emergencies
  
• Lead engagement and collaboration with INEE’s membership to capture current practice, needs, and demands regarding AI EdTech in Emergencies and ensuring activities of project reflect this input
  
• Support the strengthening, deepening, and localising of INEE’s Network to include interest-holders and decision-makers in EiE contexts who may have an interest in using the QA Facility
  
• Represent INEE, the project, and partnership in key international fora to disseminate findings, raise awareness, and drive use of the QA Facility
  
• Support the INEE Secretariat in strategic thinking and thought leadership regarding AI EdTech in Emergencies