Editorial summary

The company is seeking a Technical Business Analyst to identify operational inefficiencies and develop AI solutions across divisions. The role involves designing and supporting AI prototypes, monitoring project performance, and promoting AI literacy among stakeholders. Candidates should have strong analytical skills and experience with AI development and deployment. The position offers a salary of 12,000.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 27823 first appeared in Job-Q.com on 26 Aug 2026]

Our client, one of Asia-Pacific’s leading organizations is looking for:

Technical Business Analyst

Responsibilities:

• Responsible for uncovering operational pain points and inefficiencies where AI could provide meaningful solutions and automation opportunities
• Design and support development of AI prototypes to across divisions to maximise adoption and integration success
• Monitor performance of deployed AI projects and develop strategies to expand successful implementations
• Conduct workshops and collaborate with stakeholders to build AI literacy, raise awareness of approved AI tools, and enable public officers to adopt AI safely and responsibly in their day-to-day work
• Track and report on AI initiative outcomes, including efficiency gains and cost savings, while supporting long-term AI strategy development
• Develop reusable frameworks, standards, documentation, and training materials to support sustainable process excellence

Requirements:

• Degree with 2 to 4 years of experience as a technical business analyst, AI advocate, or innovation practitioner in a technology, preferably with hands-on involvement in AI awareness, adoption, or innovation initiatives
• Good understanding of LLMs, how they work, how to do prompt engineering effectively, and how to build apps with them, their applications, and associated risks
• Keen interests in AI development, including development in global AI regulations and guidelines
• Preferably competent in Python programming, with some familiarity of cloud deployments for ML models and LLMs
• Strong written and verbal communication skills, with the ability to translate technical concepts for both technical and non-technical stakeholders
• Comfortable working cross-functionally with engineering, product, policy, frontline teams, and external partners

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Interested applicants can also email CV at (for faster processing, please state the exact job / position title applied “AI Business Analyst”

Only shortlisted candidates will be notified.

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EA License Number: 10C3636
EA Personnel Name: Arora, Hardeep
EA Personnel Registration Number: R1111454

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