GenAI Business Analyst — AI Solutions & Transformation

NTT SINGAPORE PTE. LTD.; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

NTT SINGAPORE PTE. LTD. seeks a Business Analyst to support AI initiatives, bridging business needs with technical solutions while ensuring governance and risk alignment. You will work with stakeholders to gather requirements, translate them into specifications, and help plan AI projects from inception to delivery.

The role emphasizes collaboration with data science teams, development of governance practices, and delivery of clear decision-ready analyses and reports for leadership.

Qualifications

• Bachelor's degree in Business Analytics, Information Technology, Computer Science, Engineering, Data Science, or related fields.

Responsibilities

• Support the identification, assessment, and implementation of AI solutions that enhance business processes and outcomes.
• Collaborate with business and technical stakeholders to identify, evaluate, and support opportunities for AI adoption across processes.
• Gather, analyse, and document business requirements and translate them into functional/technical specs for AI-related solutions.
• Support planning and delivery of AI initiatives with project plans, timelines, resources, and risk assessments.
• Monitor and report on performance and effectiveness of AI solutions with recommendations for improvement.
• Evaluate and support GenAI integration into data science products and enterprise platforms.

Education

Bachelor's degree in Business Analytics, Information Technology, Computer Science, Engineering, Data Science, or related fields

Tools

Python

R

SQL

Job description

NTT SINGAPORE PTE. LTD. seeks a Business Analyst to support AI initiatives, bridging business needs with technical solutions while ensuring governance and risk alignment. You will work with stakeholders to gather requirements, translate them into specifications, and help plan AI projects from inception to delivery.

The role emphasizes collaboration with data science teams, development of governance practices, and delivery of clear decision-ready analyses and reports for leadership.