Deputy Chief Information Officer / IT Director

As the Deputy Chief Information Officer (CIO) / IT Director, you will serve as a key executive partner to the CIO, providing operational leadership and strategic guidance across the university's central technology division. You will oversee multi-disciplinary IT teams, drive large-scale digital transformation initiatives, and ensure that IT infrastructure, services, and governance align seamlessly with NTU's academic, research, and administrative goals.

Key Responsibilities:

• Strategic IT Leadership: Partner the CIO in defining and executing the university’s multi-year digital and AI roadmap, ensuring technology initiatives actively support research excellence, education, and administrative operations.

• End-to-End Operational Excellence: Enterprise IT operations-including IT infrastructure, enterprise applications, cybersecurity, cloud architecture, and end-user support services-maintaining high reliability and performance. Lead operational transformation through AI-driven operations to increase efficiency and user satisfaction.

• Digital Transformation & Enterprise Architecture: Lead complex enterprise-wide transformation programs, modernizing legacy systems, optimizing workflows, and integrating cloud-native solutions. Exploit AI-assisted coding tools, automated testing, and CI/CD pipelines in enterprise application development workflows.

• Institutional AI & Data Hub Adoption: Champion the adoption of the university-wide Data Hubs and Enterprise AI Platform across administrative units and academic schools, bridging strategic vision with operational reality.

• Governance, Risk & Compliance: Ensure robust enterprise cybersecurity, data privacy, business continuity, and regulatory compliance frameworks across all digital platforms and university assets. Support the CIO in formulating enterprise data policies and institutional AI frameworks.

• Resource & Financial Stewardship: Manage multi-million-dollar capital and operational IT budgets, establishing rigorous financial modelling, ROI tracking, and procurement governance.

• People Leadership & Capability: Mentor, empower, and develop a high-performing team of IT directors, managers, and technical specialists, fostering a culture of continuous learning, agility, and service excellence.

• Vendor & Stakeholder Engagement: Manage strategic vendor relationships, evaluate major IT investments, and maintain strong, collaborative relationships with academic deans, administrative leaders, and governance committees.

Job Requirements:

Must-Have Qualifications & Skills:

• Education: A Master’s or Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, Business Information Systems, or a related field.

• Experience: At least 20 years of extensive progressive leadership experience in complex, large scale IT environments, with at least 5 years in a senior IT management role.

• Proven Executive Leadership: Demonstrated track record of leading large, multi-disciplinary IT teams and managing multi-million dollar technology budgets and enterprise portfolios.

• Complex Operational Management: Proven track record of managing end-to-end IT operations within large, decentralized, or matrixed organization, ensuring high operational resiliency, strict service-level agreements, and seamless business continuity.

• Transformation Expertise: Proven success delivering enterprise-grade digital transformations, cloud migrations, modernizing legacy enterprise systems, and scaling AI Ops or AI workflows in complex enterprise environments.

• Cybersecurity & Governance: Good understanding of enterprise risk management, cloud and AI governance frameworks, and modern cybersecurity principles.

• Communication & Influence: Superior stakeholder management, communication and negotiation skills, with a proven ability to present complex technical strategy clearly to executive stakeholders.

Good-To-Have Skills:

• Executive industry certifications (e.g., ITIL, CISSP, TOGAF, PMP), in cloud platforms (AWS/Azure/GCP Architect), AI Operations, or data management (e.g., TOGAF, CISM, CDMP).

• Leadership experience within higher education, public sector, or research-intensive organizations.

• Hands-on familiarity with enterprise AI applications, AI platforms integration or big data virtualization tools.

We regret to inform that only shortlisted candidates will be notified.