Business Analyst (AI Domain)

NTT SINGAPORE PTE. LTD.; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

NTT SINGAPORE PTE. LTD. is seeking a Business Analyst to support AI initiatives, analyze requirements, and bridge business needs with technical solutions, ensuring alignment with organisational objectives.

You will work with stakeholders and technical teams to plan and govern AI adoption, develop project plans, and contribute to governance practices with a focus on responsible GenAI integration and risk management.

Qualifications

• Bachelor's degree, professional qualification, or equivalent demonstrated competencies in Business Analytics, Information Technology, Computer Science, Engineering, Data Science, or related fields.
• Experience in business analysis, project delivery, digital transformation, data analytics, AI-related initiatives, or other relevant domains will be advantageous.
• Strong analytical and problem-solving skills, with the ability to evaluate complex information and derive actionable insights.
• Excellent communication and stakeholder management skills, with the ability to explain technical concepts to both technical and non-technical audiences.
• Familiarity with data analysis and querying tools such as Python, R, SQL, or equivalent technologies.
• Able to develop appropriate project plans using suitable methodologies and manage assigned projects independently, commensurate with the role requirements and experience level.
• Understanding of machine learning concepts, statistical techniques, and data visualisation methodologies.
• Familiarity with project management approaches, tools, and best practices.
• Awareness of AI and machine learning technologies, including natural language processing, computer vision, predictive analytics, or related technologies.

Responsibilities

• Demonstrate technical proficiency and apply industry best practices when supporting AI-related initiatives and project delivery.
• Collaborate with business and technical stakeholders to identify, evaluate, and support opportunities for AI adoption across business processes and functions.
• Gather, analyse, and document business requirements, and translate them into clear functional and technical specifications for AI-related solutions.
• Support the planning and delivery of AI initiatives by developing and maintaining project plans, timelines, resource requirements, and risk assessments.
• Facilitate effective communication and collaboration between stakeholders and project teams to ensure alignment on project objectives, deliverables, and expected outcomes.
• Monitor, assess, and report on the performance and effectiveness of implemented AI solutions, and provide recommendations for continuous improvement.
• Evaluate and support the integration of GenAI capabilities — including LLMs, AI-assisted workflows, and prompt engineering — into data science products and enterprise platforms.
• Support the responsible adoption of GenAI within Company’s governance and risk frameworks, ensuring ethical use, explainability, and auditability of AI-powered features.
• Prepare analysis, reports, presentations, and documentation to support decision-making and project delivery.
• Identify and surface GenAI use case opportunities within assigned business groups, facilitating structured discovery sessions to assess feasibility, impact, and readiness.

Skills

Analytical thinking

Stakeholder communication

Python

SQL

R

Data analysis

Education

Bachelor's degree

Professional qualification

Equivalent demonstrated competencies

Tools

Python

SQL

R

Job description

Job Summary

We are seeking a Business Analyst to support the identification, assessment, and implementation of Artificial Intelligence (AI) solutions that enhance business processes and operational outcomes. The role involves working closely with business stakeholders and technical teams to analyse requirements, support AI initiatives, facilitate project delivery, and contribute to the development of AI governance practices. The successful candidate will help bridge business needs and technical solutions while ensuring alignment with organisational objectives.

Key Responsibilities

• Demonstrate technical proficiency and apply industry best practices when supporting AI-related initiatives and project delivery
• Collaborate with business and technical stakeholders to identify, evaluate, and support opportunities for AI adoption across business processes and functions.
• Gather, analyse, and document business requirements, and translate them into clear functional and technical specifications for AI-related solutions.
• Support the planning and delivery of AI initiatives by developing and maintaining project plans, timelines, resource requirements, and risk assessments.
• Facilitate effective communication and collaboration between stakeholders and project teams to ensure alignment on project objectives, deliverables, and expected outcomes.
• Monitor, assess, and report on the performance and effectiveness of implemented AI solutions, and provide recommendations for continuous improvement.
• Evaluate and support the integration of GenAI capabilities — including LLMs, AI-assisted workflows, and prompt engineering — into data science products and enterprise platforms.
• Support the responsible adoption of GenAI within Company’s governance and risk frameworks, ensuring ethical use, explainability, and auditability of AI-powered features.
• Prepare analysis, reports, presentations, and documentation to support decision-making and project delivery.
• Identify and surface GenAI use case opportunities within assigned business groups, facilitating structured discovery sessions to assess feasibility, impact, and readiness.

What we are looking for

Qualifications & Experience

• Bachelor's degree, professional qualification, or equivalent demonstrated competencies in Business Analytics, Information Technology, Computer Science,Engineering, Data Science, or related fields.
• Experience in business analysis, project delivery, digital transformation, data analytics, AI-related initiatives, or other relevant domains will be advantageous. Candidates with transferable experience and relevant competencies are encouraged to apply.
• Strong analytical and problem-solving skills, with the ability to evaluate complex information and derive actionable insights.
• Excellent communication and stakeholder management skills, with the ability to explain technical concepts to both technical and non-technical audiences.
• Familiarity with data analysis and querying tools such as Python, R, SQL, or equivalent technologies.
• Able to develop appropriate project plans using suitable methodologies and manage assigned projects independently, commensurate with the role requirements and experience level.
• Understanding of machine learning concepts, statistical techniques, and data visualisation methodologies.
• Familiarity with project management approaches, tools, and best practices.
• Awareness of AI and machine learning technologies, including natural language processing, computer vision, predictive analytics, or related technologies, would be advantageous.