Assistant Manager, Enterprise Platform Transformation (Business Analyst)

AIA Digital+; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

AIA Digital+ is seeking a results-driven Business Analyst to bridge business strategy, product innovation, and technical execution in the insurance tech space.

You will combine insurance domain knowledge with hands-on payment systems experience and practical AI/ML understanding to drive scalable solutions. This role emphasizes collaboration with banks, fintechs, and internal squads in Kuala Lumpur.

Qualifications

• Bachelor’s degree or higher in a relevant field.
• 5+ years as a Business Analyst or Product Analyst, with 3+ years in insurance.
• Experience with payment systems and AI/ML integration.

Responsibilities

• Lead end-to-end business analysis for insurance technology initiatives.
• Focus on core workflows: underwriting, policy administration, claims, renewal, cancellation.
• Collaborate with business users, engineering, operations, and external partners to translate needs into requirements.
• Document requirements, user stories, BPMN diagrams, and PRD specs.
• Drive AI/ML integration in insurance operations.
• Define and monitor KPIs to support data-driven decisions.
• Support UAT, system testing, go-live, and post-launch evaluation.
• Perform other tasks as assigned by team lead.

Skills

Business analysis

Insurance knowledge

Payment systems

AI/ML projects

Stakeholder management

Agile/Scrum

Data analysis

Education

Bachelor’s degree or higher in CS/IS/Finance

Tools

Jira

Confluence

APIs

Job description

We are seeking a results-driven, tech-savvy Business Analyst to bridge the gap between business strategy, product innovation, and technical execution in the insurance technology space. The ideal candidate will combine deep domain knowledge in insurance operations, hands‑on experience with payment systems, and a practical understanding of AI/ML applications to drive intelligent, scalable solutions.

Roles and Responsibilities:

• Lead end-to-end business analysis for insurance technology initiatives, with deep focus on core insurance workflows (e.g., underwriting, policy administration, claims processing, renewal, and cancellation),
• integrated with payment systems (premium collection, auto-debit, refunds, multi-channel payment gateways, reconciliation).
• Collaborate closely with Business User, engineering, operations, and external partners (e.g., banks, payment processors, fintech platforms) to translate business needs into clear, actionable requirements.
• Conduct stakeholder interviews, gather user requirements, and document detailed business cases, user stories, process flows (BPMN), and functional specifications (PRD).
• Drive the integration and implementation of AI/ML solutions in insurance operations
• Define and monitor KPIs and success metrics to support data-driven decision-making and continuous process optimization.
• Support UAT, system testing, go-live coordination, and post-launch evaluation to ensure quality and user adoption.
• Other tasks team leader assigned.

Education:

• Bachelor’s degree or higher in Computer Science, Information Systems, Finance, Actuarial Science, or a related technical field.

Experience:

• 5+ years of experience as a Business Analyst or Product Analyst, with 3+ years in the insurance industry (life, health, property & casualty, or digital insurance).
• Proven experience in payment systems (e.g., premium payment processing, auto-debit, refund workflows, payment gateway integration, settlement reconciliation).
• Hands‑on involvement in AI/ML projects — including requirement scoping, use case definition, model evaluation, and business integration.

Technical Proficiency:

• Strong understanding of system architecture, APIs, data flows, and integration patterns.
• Familiarity with Agile/Scrum methodologies, Jira, Confluence, and documentation standards.
• Comfortable working with technical teams and translating business needs into technical specifications.

Soft Skills:

• Excellent communication, stakeholder management, and cross‑functional collaboration skills.
• Analytical mindset with strong problem-solving and user‑centric design thinking.
• Ability to navigate ambiguity and drive outcomes in complex, fast‑paced environments.

Preferred Qualifications:

• Experience with InsurTech platforms, digital insurance ecosystems, or embedded finance.
• Exposure to AI tools (e.g., NLP, computer vision, predictive modeling) in insurance or financial services.