Junior Business Analyst (AI Transformation)

Y3 TECHNOLOGIES PTE LTD; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Y3 TECHNOLOGIES PTE LTD in Singapore is seeking a Business Analyst to lead AI use case discovery across logistics, customs, customer service and operations. You will produce detailed specifications, define success metrics, and ensure regulatory compliance for AI initiatives.

You will prioritize AI opportunities, manage the backlog, and coordinate UAT scenarios for LLM features while liaising with legal and data privacy teams to ensure alignment with PDPA and vendor handover requirements.

Qualifications

• 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.
• Knowledge of AI governance and explainability requirements.

Responsibilities

• 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

Skills

Stakeholder interviews

Requirements elicitation

Data literacy

LLM / AI projects

Prompt engineering

AI governance

Education

CBAP or equivalent BA certification

Tools

APIs & data schemas

System integration concepts

Job description

• 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