Senior Executive/Manager, Digital and AI

About Us

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 270 cities in 45 countries.

Job Description

About the Role

We are seeking a hands-on Digital and AI Product Builder to design, build, and ship the digital and AI products behind our digitalization initiatives. This role suits a strong software engineer who enjoys turning business problems into working tools — building AI applications, engineering the data that powers them, and delivering analytics that drive decisions across multiple business units. You will help transform traditional processes into streamlined, data-driven workflows using modern software engineering, data, and AI practices. You will be part of the Strategic Planning Division.

Responsibilities

AI Product Engineering

• Build and ship LLM-powered products — RAG assistants, natural-language-to-data tools, chatbots, and agents — integrating foundation-model APIs into production applications
• Design effective prompts and put in place evaluation and guardrails so that outputs are accurate, reliable, and safe in production

Data Engineering and Analytics

• Build and operate data pipelines (ETL/ELT) and scalable data models on the organisation’s data platform (e.g. lakehouse / data warehouse)
• Collect, clean, and transform data from multiple internal and external sources
• Build dashboards, reports, and self-serve analytics to support business decision-making
• Ensure data quality, consistency, and governance across the organization

Digitalization and Automation

• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Automate manual processes and create efficient digital workflows
• Provide user training, documentation, and support for the tools you build

Innovation and Continuous Improvement

• Research and evaluate new technologies, AI capabilities, and automation trends
• Proactively identify opportunities to automate, streamline data processes, and improve data quality
• Support digital transformation roadmaps and strategic data initiatives

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field
• 1–5 years building software, data, or AI products — e.g. software / AI / data engineering, applied ML, or data analytics. The strongest candidates combine hands-on coding with practical data and AI experience

Technical Skills

Core skills

• Software engineering: strong programming in Python and SQL, with sound engineering practices — version control (Git), testing, code review, and writing maintainable, production-quality code
• Data engineering: building and operating data pipelines (ETL/ELT), working with data warehouses / lakehouses (e.g. Databricks), and designing data models that scale beyond spreadsheets
• AI engineering: building LLM-powered applications (RAG, chatbots, agents), integrating foundation-model APIs, with prompt design and evaluation of output quality, accuracy, and safety
• Data analytics: SQL plus BI / dashboarding (Power BI or equivalent) to turn data into clear decision support
• Cloud & APIs: working knowledge of cloud platforms (Azure and/or AWS) and building or consuming APIs

Advantageous (nice to have)

• Microsoft Power Platform (Power Automate, Power Apps, Power Query) for rapid internal tooling
• Vector databases and embeddings, agent frameworks (e.g. LangGraph), and MLOps / LLMOps practices
• Exposure to the real estate or large-enterprise domain

Soft Skills

• Strong analytical and problem-solving abilities
• Strong attention to detail and ability to work independently
• Ability to work collaboratively with both technical and non-technical stakeholders
• Good communication skills and an interest in understanding business operations
• Self-driven, curious, and excited to learn new technologies

What We Offer

• Opportunity to drive meaningful digital transformation in a leading real estate development company
• Exposure to end-to-end business processes across multiple functions
• A collaborative environment that encourages innovation and continuous learning
• Access to modern tools and platforms for data, automation, and AI
• Career development opportunities in data, digitalization, and technology leadership

Benefits

• Flexible benefits with comprehensive medical coverage for self and family
• Training and development opportunities
• Subsidised rates at Ascott serviced residences-
• Strong advocate of staff volunteerism
• Wellness programmes

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.