Senior Executive / Assistant Manager (Analytics & AI)

NUS Centre for Future-ready Graduates (CFG) adopts a multipronged, student-centric approach to help them make sense of their strengths, refine their skills and demonstrate their value to employers. Beginning with the end in mind, CFG has developed a four-year roadmap to help enhance the employability of our graduates through a repertoire of skills programmes and industry focused experiential opportunities. This bolsters students’ assurance to grow deeper, discover their passion and explore multiple pathways.

Serving the entire spectrum of students from undergraduates to post-graduates, CFG offers more than 15 unit-bearing courses in collaboration with academic and industry partners. We continuously innovate and enhance the quality of our offerings, as our students deserve the best tools, preparedness, and mindset to not just launch a good career, but be equipped with life skills that can help them navigate a future that is unpredictable.

About The Role

Reporting to the Head of Analytics & AI, you will work with both external and internal stakeholders to implement AI-powered applications and analyse survey data to inform strategies aimed at improving student employability outcomes.

Duties & Responsibilities

• Collaborate with vendors and internal teams to design and implement AI-powered applications that enhance student career preparation.
• Provide technical guidance and oversee the development of AI/ML solutions on career-related platforms.
• Evaluate vendor-delivered AI solutions to ensure alignment with project goals, quality standards, and user requirements.
• Identify and recommend AI tools to enhance career services, strengthen student engagement, and improve overall user experience.
• Collect, clean, and analyse data from key surveys, including the Graduate Employment Survey and Internship Survey.
• Extract insights to support decision-making and enhance career services and employability initiatives.
• Conduct trend analyses and present data-driven insights to stakeholders.
• Promote technology adoption, drive process automation, and streamline workflows, while staying current with emerging AI and data analytics trends.