About Us
Headquartered and listed in Singapore in 2021, CapitaLand Investment Limited (CLI) is a leading global real asset manager with a strong Asia foothold. As at 5 November 2025, CLI had S$120 billion of funds under management. CLI holds stakes in eight listed real estate investment trusts and business trusts and a suite of private real asset vehicles that invest in demographics, disruption and digitalisation-themed strategies. Its diversified real asset classes include retail, office, lodging, industrial, logistics, business parks, wellness, self-storage, data centres, private credit and special opportunities.
Job Description
Responsibilities
Support the Project Manager in research, evaluation, and implementation of AI solutions and innovation within CapitaLand.
Engage and liaise with external vendors to explore, assess, and compare AI offerings, including vendor presentations, Proof-of-Concepts (POCs), and solution demonstrations.
Assist in managing AI POC projects from initiation to completion, including scoping, testing, documenting results, and preparing recommendations for implementation.
Conduct desk research on emerging AI technologies, innovation, industry trends, and competitive benchmarks to identify potential opportunities for CapitaLand’s businesses.
Coordinate meeting logistics and follow up on action items to ensure smooth preparation and execution.
Develop and maintain dashboards, reports, and trackers (e.g., Power BI) to monitor progress of AI initiatives.
Support data preparation and basic analytics tasks (data collection, cleaning, and visualisation) to enable AI model experimentation.
Assist in creating presentation decks, reports, and summaries for senior management, highlighting findings from research and vendor evaluations.
Use Canva or other design/video creation tools to prepare emailers, training materials and explainer content for internal stakeholders on new AI tools/ innovation and processes.
Coordinate with internal departments (IT Infrastructure, IT Security, and Business Teams) to ensure AI implementation aligns with governance, compliance, and security standards.
Participate in knowledge-sharing sessions, team meetings, and workshops to contribute fresh perspectives and document learnings.
Perform other ad-hoc duties related to AI projects as assigned.
Requirements
Currently pursuing a Degree in Computer Science, Data Analytics, AI & Machine Learning, Business Analytics, or related disciplines.
Keen interest in Artificial Intelligence, Data Science, and emerging digital technologies.
Good communication and presentation skills.
Able to summarise findings clearly for both technical and business audiences.
Basic understanding of AI concepts (e.g., chatbots, machine learning, natural language processing) is preferred but not required.
Closing Statement:
At CapitaLand, we advocate fair employment practices, and recruit talents based on merit and fit with our Corporate values. We provide equal opportunity for all qualified persons and build an inclusive workplace regardless of race, gender, age, religious belief or nationality.
Only shortlisted candidates will be notified.
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What We Do
CapitaLand Group (CapitaLand) is one of Asia’s largest diversified real estate groups. Headquartered in Singapore, CapitaLand’s portfolio focuses on real estate investment management and real estate development, and spans across more than 260 cities in over 40 countries. Within its ecosystem, CapitaLand has developed an integrated suite of investment management and operating capabilities that supports its real estate businesses and platforms in building core competencies across the real estate value chain. With this full stack of capabilities, CapitaLand can optimise the strategies of its listed real estate investment management business CapitaLand Investment, and its privately held property development arm CapitaLand Development; to drive competitive advantage for its businesses. CapitaLand places sustainability at the core of what it does. As a responsible real estate company, CapitaLand contributes to the environmental and social well-being of the communities where it operates, as it delivers long-term economic value to its stakeholders
