Lead AI use case discovery workshops with business units across logistics, customs, customer service, and operations - structured to surface high-value, AI-solvable problems.
Produce detailed AI use case specifications including business context, data inputs/outputs, expected model behaviour, edge cases, success metrics, and regulatory constraints
Prioritize use cases using a value-versus-feasibility framework, maintaining and updating the use case backlog in alignment with programme roadmap
Coordinate user acceptance testing for AI features - including designing test scenarios for LLM outputs (evaluating relevance, accuracy, tone, and safety)
Map existing Java-based business processes to identify AI augmentation and automation opportunities without requiring full system replacement
Liaise with legal, compliance, and data privacy teams to ensure use case designs meet PDPA and regulatory requirements
Support vendor requirements handover - ensuring external AI teams have complete, unambiguous specifications before building begins
Track business benefit realisation against programme KPIs: processing time reduction, cost per transaction, accuracy rates, user adoption
Job Requirements:
Business Analyst in technology or digital transformation programmes
Domain knowledge in logistics, freight forwarding, supply chain, or customs operations
Experience writing functional and non-functional requirements for AI, ML, or data-driven systems
Ability to conduct stakeholder interviews and requirement elicitation workshops at all organisational levels
Strong data literacy - comfortable with data schemas, APIs, and system integration concepts
Hands on experience working on LLM, chatbot, or intelligent automation projects
Familiarity with prompt engineering or LLM evaluation methodologies
CBAP or equivalent business analysis certification
Knowledge of AI governance and explainability requirements
