ABOUT THE NATIONAL INSTITUTE OF EDUCATION (NIE)

The National Institute of Education (NIE), Singapore, is Singapore’s national teacher education institute, and we are proud to be an integral part of the nation’s education service. We play a key role in the preparation of teachers and in the provision of teacher professional and school leadership development programmes. We are committed to our vision of being An Institute of Distinction: Leading the Future of Education, and our mission to Inspire Learning, Transform Teaching and Advance Research. Read more about NIE here.

NIE is seeking a highly organised and detail-oriented Learning Innovations Manager to join the Centre for Innovation in Learning. Reporting directly to the Senior Assistant Head, the appointee will be essential in advancing data-driven innovations in teaching and learning, providing strategic direction for integrating emerging technologies and learning analytics. The appointee will work closely with other teams to adopt proven educational technologies and data-driven tools that enable real-time feedback loops for faculty and students to foster personalised learning. The appointee should understand the higher education landscape deeply and demonstrate strong leadership and facilitation skills, particularly in guiding faculty and teams to leverage learning analytics for optimising teaching practices and student outcomes. This is a 2-year contract position.

Responsibilities

Strategic Leadership:

• Provide strategic direction and establish clear, achievable goals for the Learning Innovations team, fostering a culture of innovation and data-driven decision-making.
• Manage the team’s resources (e.g., tools, software, training) to ensure the effective integration of learning analytics dashboards and other emerging technologies to support teaching and learning innovations.
• Oversee the team’s performance by assigning tasks strategically, offering guidance, and developing the team's skills to ensure alignment with institutional goals.
• Communicate team achievements and project outcomes related to learning analytics, and data-driven innovations in teaching and learning to IN-Learning’s management through comprehensive reports.
• Oversee team performance reviews, provide coaching, and create an environment that fosters collaboration and open communication.

Champion Data-Driven Innovation in Teaching and Learning:

• Lead the development and integration of evidence-based frameworks and pedagogically sound design solutions, incorporating teacher-facing and student-facing learning analytics dashboards to optimise teaching and learning experiences.
• Analyse teaching and learning datasets, uncover insights, and identify opportunities for continuous improvement in teaching practices and learning environments at NIE.
• Present data-driven findings and innovative design solutions to stakeholders, ensuring alignment with best practices in educational technology and learning sciences.
• Collaborate on faculty professional development programs, equipping faculty with the skills to utilise learning analytics dashboards effectively in their teaching practices.

Collaboration for Faculty Professional Development:

• Work with cross-departmental teams to develop strategies for faculty engagement and professional development, leveraging learning analytics insights to inform instructional design and personalised learning approaches.
• Spearhead the development and facilitation of professional development programmes that help faculty integrate learning analytics into their course design, enabling data-driven decisions that improve student outcomes.
• Lead collaboration efforts to share institute-wide knowledge on data-driven teaching and learning.

Research and Stay Abreast of Best Practices:

• Stay informed about emerging trends in educational technologies and learning analytics on a local and global scale, ensuring that the Learning Innovations team remains at the forefront of data-driven teaching and learning innovations.
• Conduct research on the latest educational technology advancements and synthesise findings to continuously enhance teaching and learning experiences.

Lead Special Projects:

• Participate in and lead special projects to advance teaching and learning through data analytics, AI edtech and other innovative educational technologies.
• Collaborate across teams to develop and implement data-informed instructional strategies, using teacher-facing and student-facing dashboards to provide real-time feedback for continuous improvement in both faculty performance and student learning outcomes.

Requirements

• A University degree in Learning Sciences, Instructional Design, Educational Technology or a related field.
• A minimum of 5 years of experience in educational technology, learning analytics, or a related field within a higher education setting, with demonstrated leadership in integrating learning analytics into teaching and learning.
• Proven supervisory experience, including managing or mentoring others in a data-driven educational technology environment.
• Strong knowledge of emerging educational technologies and the ability to integrate these into data-informed teaching and learning practices.
• Experience in data analysis to uncover themes and trends and the ability to interpret teacher-facing and student-facing learning analytics to support data-driven decision-making.
• Strong project management skills, with the ability to manage multiple projects simultaneously and meet deadlines.
• Experience in delivering education programmes that support faculty in leveraging learning analytics and using emerging educational tools effectively.
• Excellent interpersonal, written, and verbal communication skills, with the ability to present complex data in a clear and actionable manner for diverse stakeholders, including faculty and senior leadership.
• Experience with data visualization tools (e.g., Tableau, PowerBI) will be an advantage, particularly in the creation of interactive dashboards for faculty and students.

Closing Date

The closing date of the advertisement is 16 September 2026. We regret that only shortlisted candidates will be notified.

Other Information

NIE staff can take chartered buses at their own expense from or near their homes to the NIE campus. This is subject to availability of seats.