Insurance IT Business Analyst — AI-Driven DMS Lead

Income Insurance Limited; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Income Insurance Limited seeks an IT Business Analyst to support end-to-end delivery of a Distribution Management System. You will bridge business stakeholders, vendors, and IT teams to translate requirements into functional specs and user stories.

You will drive analysis, design, testing, and implementation while promoting AI-enabled productivity and continuous improvement across distribution processes.

Qualifications

• General Degree / Degree holder in Information Technology, Info Systems or equivalent.
• 5-8 years of experience in Business Analysis or IT project delivery.
• Proven experience in system implementation projects (Distribution Management System, Agent Portal, Regulatory Reporting).
• Experience in Financial Advisory (FA), Wealth Management, or Distribution domain is preferred.
• Strong understanding of SDLC/Agile methodologies and requirement management tools.

Responsibilities

• Engage business heads to gather, analyse, and document requirements.
• Translate needs into functional specs, user stories, and data flows.
• Serve as liaison between business, vendors, and IT teams; manage sign-offs.
• Support solution design, integration efforts, and risk monitoring.
• Define test scenarios and support SIT/UAT and delivery.
• Identify opportunities to streamline processes with system capabilities and AI.

Skills

Business analysis

Stakeholder management

SDLC/Agile

Analytical thinking

Education

Bachelor's degree in Information Technology / Information Systems

Tools

JIRA

Confluence

Visio

BPMN

Job description

Income Insurance Limited seeks an IT Business Analyst to support end-to-end delivery of a Distribution Management System. You will bridge business stakeholders, vendors, and IT teams to translate requirements into functional specs and user stories.

You will drive analysis, design, testing, and implementation while promoting AI-enabled productivity and continuous improvement across distribution processes.