Assistant Director, AI and Learning Analytics

As Assistant Director, AI and Learning Analytics, you will drive the development and implementation of a university-wide competency framework and measurement approach. Leading a team, you will partner with Schools to define, refine, and assess both transferable and technical competencies, supported by data, analytics, and AI.

This role contributes to:

1. Enabling students to better navigate an evolving employment landscape through clear articulation of competencies Supporting Schools in curriculum planning to meet learning and employability outcomes

2. Sitting at the intersection of pedagogy, analytics, and AI, this role ensures NTU remains future-ready in delivering high-quality, relevant education.

Responsibilities:

This strategic role is responsible for:

• Developing and institutionalising a university-wide competency and measurement framework

• Driving alignment and adoption across Schools through stakeholder engagement and governance

• Leading the design and delivery of analytics, dashboards, and AI-enabled insights to support teaching and learning

• Ensuring robust data governance, quality, and compliance across education data platforms

• Translating complex analytics into actionable insights for academic and institutional decision-making

• Leading and developing a team to deliver data and AI initiatives aligned with University priorities

Requirements:

Knowledge & Qualification

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Management, Education, or a related field

• At least 7 years of experience in data, analytics, or AI-related roles

Technical Experience & Skills

• Strong expertise in data science, machine learning, and AI applications

• Experience in building and managing data and analytics pipelines

• Good understanding of pedagogy and its application in higher education

Governance & Compliance

• Strong knowledge of data governance frameworks, data quality standards, and regulatory requirements (e.g. PDPA, ethical AI)

• Experience in implementing data access, lineage, and audit controls

Leadership & Collaboration

• Experience leading teams and working with cross-functional stakeholders (e.g. Schools, IT, governance units)

• Strong communication skills, with the ability to influence and align stakeholders on data and AI initiatives

Competencies

• Strategic mindset with the ability to balance governance and innovation

• Strong analytical, problem-solving, and stakeholder management skills

We regret that only shortlisted candidates will be notified.