AI Platform Strategy & Business Analysis Lead

AXA; Hong Kong; Sur place; HKD 420 000 - 720 000; Plein temps

Résumé du poste

AXA Hong Kong and Macau is seeking a business analyst to shape AI use cases, gather requirements and translate them into user stories. You will collaborate with stakeholders across underwriting, claims, distribution, and IT, ensuring data readiness and governance for AI-enabled platform features.

The role emphasizes compliance with security and privacy standards, change management and delivering measurable benefits through automation and process improvements.

Qualifications

• University degree in Business, Information Systems, Data/Analytics or related disciplines.
• 3-5 years in business analysis or product roles, with proven experience in digital/data/AI initiatives.
• Experience in insurance/financial services or large, regulated enterprises is an advantage.
• Strong requirements gathering, user story / acceptance criteria writing, and process modeling
• Data literacy: comfort with datasets, SQL basics, data quality concepts and lineage; familiarity with RAG/LLM basics and prompt evaluation.
• Proficient with Jira and Confluence.
• Understanding of controls for security, privacy, and responsible AI in model-enabled workflows.
• Excellent stakeholder management, analytical thinking, structured communication and presentation.
• Able to bridge business, data and engineering, translating complex topics into clear options and trade-offs.
• Comfortable in low code prototyping and iterative delivery, with a hypothesis-driven mindset.
• Good communication skills in English, Cantonese and Mandarin.

Responsabilités

• Study incoming AI use case requests and evaluate cost implications, and AI feasibility with Tech Lead before shaping scope and backlog items.
• Lead business discovery and value framing for AI initiatives across multiple domains (e.g. underwriting, claims, distribution, operations and IT).
• Proactively identify opportunities for automation and process improvement through AI to enhance operational efficiency.
• Support PoC activities and consolidate assessment results to inform implementation decisions and platform integration.
• Work with business stakeholders, product owner and Scrum Master to understand objectives and data flows.
• Elicit, analyze and document business requirements, user journeys, process maps and use cases for AI products.
• Translate business requirements into clear user stories, acceptance criteria and supporting artefacts for the scrum team.
• Identify process improvement and automation opportunities leveraging AI, and support preparation of business cases.
• Collaborate with data scientists and AI engineers to ensure requirements for training data, model outputs and integration are clearly defined and testable.
• Prepare process/operating procedures, training content and adoption plans for business teams.
• Work closely with Senior Business Stakeholders, Platform Owner and Scrum Master to prioritize value, manage scope and orchestrate releases.
• Ensure requirements embed information security, data privacy (PII), model risk and responsible AI expectations.
• Support controls evidence, traceability and regulatory documentation in a financial services context.
• Benefit tracking and post-go-live measurement; plan change, training and comms to drive adoption.

Connaissances

Data literacy

SQL basics

RAG/LLM basics

Stakeholder management

Requirements gathering

Process modeling

Low-code prototyping

English Cantonese Mandarin

Formation

University degree in Business, Information Systems, Data/Analytics or related disciplines

Outils

Jira

Confluence

Description du poste

AXA Hong Kong and Macau is seeking a business analyst to shape AI use cases, gather requirements and translate them into user stories. You will collaborate with stakeholders across underwriting, claims, distribution, and IT, ensuring data readiness and governance for AI-enabled platform features.

The role emphasizes compliance with security and privacy standards, change management and delivering measurable benefits through automation and process improvements.