Deloitte
Manager in AI & Data
AI Transformation & Deployment
Singapore-based Deloitte AI & Data Manager and former AI Singapore Associate Director (Strategy and Special Projects). I align executives, users, product teams, and technical teams to move high-value AI use cases toward governed deployment and adoption.
Manager in AI & Data
AIRI architect; former Associate Director
Former Senior AI Product Manager
MComp AI and NUS-PKU MBA
How I work
AI transformation and deployment leader who connects business priorities, user workflows, product choices, technical delivery, and governed adoption.
Lim helps leaders identify high-value AI use cases, clarify the decision to make, and connect the work to business priorities.
His work spans consulting, national AI programs, and product teams. He translates between stakeholders so teams can make clear product and delivery choices.
He combines deployment, AI readiness, product, and trusted governance experience to help teams move toward systems people can use, monitor, and scale.
Relevant experience
Three roles show the core pattern: frame the problem, align different teams, and move AI work toward practical use.
2024-Present
Deloitte
Advises enterprise leaders on AI, data, generative AI, and business transformation. Works across strategy, governance, delivery, and stakeholder alignment.
2022
Yoozoo Games AI Innovation Lab (AI2Labs)
Led AI product work in Yoozoo's AI Innovation Lab, also referenced publicly as AI2Labs, connecting engineering, design, business goals, and user needs.
2021-2022
AI Singapore
Led national AI adoption and product work that connected AI readiness, enterprise demand, and go-to-market execution.
Transformation proof
Four public proof points show AI readiness, product judgment, hands-on technical fluency, and trusted governance.
National AI framework
An industry-focused framework that helps organizations assess AI maturity, capability gaps, and readiness.
Lim was one of the architects of AIRI, which gives organizations a clearer structure for planning AI adoption.
AI product leadership
AI product work across engineering, data, design, business teams, and user needs.
Connected product direction and technical roadmaps with business needs.
Hands-on deployment proof
An AI-assisted operations dashboard taken from requirements through frontend, backend, database, testing, and documentation.
Shows hands-on technical fluency across product choices, implementation, debugging, and verification.
View repoAI governance standard
Singapore's technical reference for assessing and defending against AI security threats.
Lim contributed as a member of the Technical Committee on Artificial Intelligence and the AI Security Working Group that prepared the standard.
AI thought leadership
Clear views on AI strategy, adoption, AI economics, and China-US AI dynamics.
Contributed technical reference
TR 99:2021 - Artificial intelligence (AI) security
Singapore Standards Council · 2022
Contributed report
AI Transparency & Explainability: A Policy Prototyping Experiment
Open Loop · 2022
Media commentary
DeepSeek: Changing the game, not the leader
ThinkChina · 2025
Speaking and advisory
Topics cover AI strategy, agents, readiness, governance, and practical deployment.