Job Title: Senior Manager (IT Project and Product Management) - Faculty and Research Systems

University-Level Unit: NUS Information Technology

Faculty/Department-Level Unit: Applications - Faculty & Research Systems

Employee Category: Executive & Administrative

Location_ONB: Kent Ridge Campus

Posting Start Date: 05/06/2026

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a can-do attitude. We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.

As part of our team, you can look forward to an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.

https://nusit.nus.edu.sg/

Job Description

You will lead product development, AI delivery, and digital partnership for Faculty and Research systems at NUS. Working closely with faculties, vendors, and cross-functional IT teams, you will translate business needs into technology outcomes that advance NUS academic and operational goals. This is a hands-on leadership role suited to someone equally comfortable with strategy and delivery.

Duties and Responsibilities

Product Development & Lifecycle Management

Own the product roadmap for Faculty and Research platforms across the full lifecycle - from discovery and requirements through to delivery, launch, and iteration.
Develop and maintain a product roadmap aligned with user needs, NUS IT direction, and relevant market developments - engaging regularly with business users and stakeholders to spearhead, gather, clarify, and prioritise requirements into a well-structured product backlog.
Work cross-functionally with architecture, security, and engineering teams to ensure products are scalable, compliant, and fit for purpose.
Use prototypes and proof-of-concepts to validate ideas early and reduce delivery risk.
Drive continuous product improvement through post-launch data analysis and structured user feedback.

AI Solution Delivery

Identify opportunities where AI can improve processes, enhance user experience, or unlock new capabilities across Faculty and Research domains.
Translate business needs into clearly defined AI use cases, shaping functional requirements, solution approaches, and measurable success criteria.
Apply practical understanding of AI approaches - including generative AI, predictive analytics, and workflow automation - to support solution design and implementation.
Lead end-to-end delivery of AI solutions, from discovery and prototyping through implementation, rollout, adoption, and continuous improvement.
Drive the design and implementation of agentic workflows and AI-powered automations using orchestration platforms such as n8n, integrating them with enterprise systems, data sources, and business processes where appropriate.

Project Delivery

Manage end-to-end project delivery - scoping, planning, execution, UAT, and go-live - ensuring targets, quality standards, and NUS governance requirements are met.
Handle procurement activities including tender preparation, vendor evaluation, and contract management.
Produce and review project artefacts to ensure compliance with NUS IT policies and audit requirements.
Coordinate vendors and internal teams to keep delivery on track and within scope.
Lead and motivate project teams, balancing resource optimisation with team wellbeing.

Strategic Partnership & Faculty Engagement

Serve as the primary IT account manager for assigned faculties and departments - building trusted relationships with Deans, Heads, and administrative leaders to understand their priorities and co-develop technology plans.
Align faculty technology needs with NUS IT strategy through bi-annual digital planning cycles, ensuring investments are well-prioritised and outcomes are tracked.
Facilitate faculty digitalisation efforts by identifying opportunities, championing adoption of new tools, and supporting change management on the ground.
Represent faculty interests in university-wide IT governance and planning forums.
Conduct regular service and strategic reviews with stakeholders to ensure IT remains responsive and forward-looking.

Operations & Continuous Improvement

Oversee application maintenance and support for Faculty systems, ensuring SLAs are consistently met and issues are resolved efficiently.
Drive a proactive operations model - using data and system analytics to identify trends and address issues before they escalate.
Collaborate with faculty partners on enhancement prioritisation, progressively automating routine processes to free capacity for higher-value work.
Manage vendor performance with accountability, ensuring support obligations are met and improvement opportunities are acted on.
Ensure ongoing compliance with audit, security, and data governance requirements.

Qualifications

Degree in Information Technology, Computer Science, Computer Engineering, or equivalent.

At least 10 years of IT experience, including 3+ years in a technical role and 7+ years in project or product management.

Strong grasp of modern IT technologies, methodologies, architectures, and best practices.

AI Fluency

Hands-on experience delivering AI or data-driven initiatives in a complex, multi-stakeholder environment.
Practical understanding of modern AI concepts - including generative AI, agentic AI, and predictive/machine learning approaches.
Relevant AI certifications, hands-on experience with AI platforms/orchestration tools, or demonstrated continuous learning in the AI domain will be an advantage.
Strong analytical and communication skills — able to engage credibly with both technical teams and senior business stakeholders. The ability to understand the business questions that users are trying to answer is essential.
Self-driven, organised, and comfortable managing multiple workstreams with competing priorities.
PMP, CITPM, or CSPO certification is an advantage.
Certifications in AI are highly preferred and will be considered an added advantage.
Experience in the higher education sector is a bonus.