AI Business Analyst

INFOSIGHT CONSULTING; Hong Kong; On-site; HKD 48,000 - 72,000; Full time

Job summary

INFOSIGHT CONSULTING in Hong Kong seeks an AI Strategy & Business Analysis professional to identify where generative AI, agents, retrieval, and intelligent automation can boost productivity and customer experience. You will translate business problems into clear use cases, define data needs, success metrics, and build a simple business case while bridging business and technology.

The role also involves writing requirements, user stories, and process maps for AI-enabled workflows, and staying

Qualifications

• Degree in business, information management, computer science, operations, or a related discipline.
• Open to a range of experience, including fresh graduates with relevant AI internship or project experience.
• Familiar with current AI and able to discuss recent tools and use cases in plain language.
• Able to consolidate business problem, write a simple case, and work with stakeholders and technology partners.
• Experience with vibe coding or rapid AI prototyping is an advantage.
• Able to write clearly, run a workshop, and explain AI output to non-technical users. Cantonese and English are an advantage in Hong Kong.

Responsibilities

• Partner with business stakeholders to identify where current AI (generative AI, agents, retrieval, and automation) can improve productivity, decisions, customer experience or operations.
• Translate business problems into use cases with a clear problem statement, users, data needs, constraints, success metrics and a simple business case.
• Assess feasibility — business impact, technical complexity, data readiness, risk, change effort and recommend.
• Write requirements, user stories and process maps for AI-enabled workflows that sit on top of existing systems; act as the bridge between business and technology.
• Stay current on what is happening in AI — models, tools, agent patterns, enterprise platforms — and brief the team in plain language
• Identify and shape automation opportunities (workflow, RPA / low-code, or agentic) and support delivery with IT or vendors.

Skills

AI strategy understanding

Business analysis

Requirements gathering

Stakeholder communication

Workshop facilitation

Bilingual advantage (Cantonese/English

Education

Degree in business/information management/CS/operations or related

Job description

• AI Strategy, Use Case Identification & Business Analysis


• Generative AI, Agentic AI & Intelligent Automation


• Requirements Gathering, Process Design & Rapid AI Prototyping

Responsibilities

• Partner with business stakeholders to identify where current AI (generative AI, agents, retrieval, and automation) can improve productivity, decisions, customer experience or operations.


• Translate business problems into use cases with a clear problem statement, users, data needs, constraints, success metrics and a simple business case.


• Assess feasibility — business impact, technical complexity, data readiness, risk, change effort and recommend.


• Write requirements, user stories and process maps for AI-enabled workflows that sit on top of existing systems; act as the bridge between business and technology.


• Stay current on what is happening in AI — models, tools, agent patterns, enterprise platforms — and brief the team in plain language


• Identify and shape automation opportunities (workflow, RPA / low-code, or agentic) and support delivery with IT or vendors.

Qualifications/Requirements

• Degree in business, information management, computer science, operations, or a related discipline.


• Open to a range of experience, including fresh graduates with relevant AI internship or project experience.


• Familiar with current AI and able to discuss recent tools and use cases in plain language.


• Able to consolidate business problem, write a simple case, and work with stakeholders and technology partners.


• Experience with vibe coding or rapid AI prototyping is an advantage.


• Able to write clearly, run a workshop, and explain AI output to non-technical users. Cantonese and English are an advantage in Hong Kong.