EdTech Development Lead, AICET, School of Computing (Contract; Renewable)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/EdTech-Development-Lead%2C-AICET%2C-School-of-Computing-%28Contract-Renewable%29/32217-en_GB/

We regret that only shortlisted candidates will be notified.

EdTech Development Specialist

The EdTech Development Lead will play a key role in shaping how technology – especially generative AI – transforms teaching and learning at NUS and beyond. This role combines pedagogical expertise, product thinking, and team leadership to drive the design and delivery of AI-enhanced learning initiatives across the institution.

The Lead will oversee a team of EdTech Development Specialists and a portfolio of projects, ensuring high standards of design, implementation, and evaluation across all workstreams. The role reports to the Director, AI Centre for Educational Technologies.

Job Description

• Lead and manage a team of EdTech Development Specialists, providing mentorship, coordinating workloads, and ensuring consistent standards across all project work.
• Oversee an institution-wide portfolio of AI-enhanced learning projects, ensuring clear scope, structured workflows, timely delivery, and proactive management of risks across multiple concurrent initiatives, while maintaining standards for design, documentation, evaluation, and reporting.
• Guide the pedagogical direction of faculty-facing projects by partnering with faculty to diagnose teaching and learning challenges and co-design AI-enabled solutions and tools, ensuring strong alignment with intended learning outcomes.
• Drive product and implementation strategy for one of AICET’s core educational platforms, including stakeholder engagement, institutional onboarding, and alignment with pedagogical and governance priorities.
• Collaborate closely with engineering and product teams to translate educational needs into system requirements, and to provide structured feedback on platform features and workflows.
• Synthesise insights from project work, trials, and user feedback to inform programme-level decision-making, reporting, and continuous improvement.
• Drive capacity-building efforts, including workshops, training sessions, and resource development, to support effective use of AI in teaching and learning.
• Establish and support partnerships with internal and external stakeholders, including faculties and K-12 institutions, to co-develop and implement AI-enabled educational solutions.
• Promote responsible and effective use of AI by ensuring appropriate governance practices, risk awareness, and data handling standards across all projects.

Qualifications

• Degree in Education, Computer Science, Learning Sciences, Instructional Design, or a related discipline – a Master’s degree will be an advantage; OR substantial pedagogical experience in any discipline. 
• Minimum 6 years of teaching experience in higher education or K-12 schools.
• Substantial experience in at least one of the following areas will be an advantage: educational research, educational product development, or learning design.
• Prior experience in team leadership or management, with the ability to guide, coordinate, and develop a team, will be an advantage.
• Demonstrated experience in product or project management within complex, multi-stakeholder environments.
• Strong understanding of AI-enhanced learning tools and/or experience working with generative AI (e.g., LLMs) in educational contexts.
• Strong communication, interpersonal, and organisational skills, with the ability to convey complex ideas clearly and collaborate effectively across multidisciplinary teams.
• Intellectual curiosity and openness to learning across diverse disciplinary and technical domains.