Senior AI Business Analyst

NSEARCH GLOBAL PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

NSEARCH GLOBAL PTE. LTD. is seeking a Senior AI Business Analyst to collaborate with business and technical teams, translate requirements into AI-ready specifications, and support AI initiatives from planning through delivery.

The role focuses on integrating GenAI capabilities, evaluating performance, and ensuring alignment with project objectives across business processes. Singapore-based, on-site position.

Qualifications

• Bachelor's degree or equivalent in a relevant field.
• Experience in business analysis, project delivery, or digital transformation is advantageous.
• Familiarity with Python, R, SQL for data analysis.
• Ability to develop project plans and manage projects independently.
• Understanding of machine learning concepts and data visualization.
• Awareness of AI technologies, including NLP, computer vision, or predictive analytics, is beneficial.

Responsibilities

• Collaborate with business and technical stakeholders to identify AI opportunities across processes.
• Gather and document requirements, translating them into functional and technical specifications.
• Support planning and delivery of AI initiatives with project plans and risk assessments.
• Facilitate communication between stakeholders and project teams to align objectives.
• Monitor and report on performance of AI solutions and suggest improvements.
• Evaluate integration of GenAI capabilities into data science products and platforms.
• Work with DS and PE teams to scope, pilot, and scale GenAI-powered features.

Skills

Stakeholder communication

Analytical thinking

Problem solving

Education

Bachelor's degree in Business Analytics/Data Science/IT

Tools

Python

R

SQL

Job description

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

Senior AI Business Analyst

Responsibilities:

• 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
• Work with DS and PE teams to scope, pilot, and scale GenAI-powered product features, translating business needs into AI product requirements and success metrics

Requirements:

• 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.
• 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.