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Work closely with business stakeholders to identify opportunities for generative AI, AI agents, retrieval-based solutions, and automation to improve productivity, decision-making, customer experience, and operational efficiency.
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Convert business challenges into well-defined AI use cases, including problem statements, target users, data requirements, constraints, success measures, and a straightforward business case.
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Evaluate the feasibility of proposed solutions by considering business value, technical difficulty, data readiness, risk, and change-management needs.
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Prepare requirements, user stories, and process maps for AI-enabled workflows that integrate with existing systems, serving as the link between business teams and technology teams.
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Keep up to date with developments in AI models, tools, agent frameworks, and enterprise platforms, and communicate key updates to the team in clear, accessible language.
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Identify automation opportunities across workflows, RPA, low-code platforms, or agentic AI, and support delivery alongside internal IT teams or external vendors.
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Degree in Business, Information Management, Computer Science, Operations, or a related field.
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Familiarity with current AI tools and the ability to explain recent AI use cases in plain language.
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Able to define business problems, develop simple business cases, and collaborate effectively with stakeholders and technology partners.
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Experience with rapid AI prototyping or vibe coding is an advantage.
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Strong written communication (Chinese & English), workshop facilitation, and ability to explain AI outputs to non-technical audiences.
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Quick learner with a strong interest in emerging AI tools and technologies.
