Associate AI Platform Business Analysis Lead

AXA Hong Kong and Macau; Hong Kong; Sur place; HKD 500 000 - 750 000; Plein temps

Résumé du poste

AXA Hong Kong and Macau is actively expanding its AI-enabled capabilities across underwriting, claims, and customer service. We seek a Business Analyst who can study AI use cases, frame value, document requirements, and partner with data scientists, engineers and business teams to deliver measurable improvements.

You will translate business needs into user stories, assist with PoC activities, ensure adherence to data privacy and security controls, and help drive adoption across functions in a

Qualifications

• University degree in Business, Information Systems, Data/Analytics or related disciplines.
• Strong requirements gathering, user story writing and acceptance criteria.
• Ability to map processes and create clear documentation for AI initiatives.
• Experience liaising with business, data and engineering stakeholders is essential.
• Familiarity with data privacy, security controls and responsible AI concepts.

Responsabilités

• Study incoming AI use case requests and evaluate cost implications.
• Lead business discovery and value framing for AI initiatives across domains.
• Identify opportunities for automation and process improvement through AI.
• Support PoC activities and inform implementation decisions.
• Collaborate with stakeholders to translate requirements into user stories.

Connaissances

Requirements gathering

User stories

Process modeling

Stakeholder management

Multilingual communication

Formation

University degree in Business/IS/Data Analytics

Outils

Jira

Confluence

Description du poste

AXA Hong Kong and Macau is a member of the AXA Group, a leading global insurer with presence in 52 markets and serving 92 million customers worldwide. Our purpose is to act for human progress by protecting what matters.

As one of the most diversified insurers in Hong Kong, we offer integrated solutions across Life, Health and General Insurance. We are the largest General Insurance provider and a major Health and Employee Benefits provider. Our aim is to not only be the insurer to provide comprehensive protection to our customers, but also a holistic partner to the individuals, businesses and community we serve. At the core of our service commitment is continuous product & service innovation and customer experience enrichment, which is achieved through actively listening to our customers' needs and leveraging and investing in technology and digital transformation.

We embrace our responsibility to be a driving force against climate change and a force for good to create shared value for our community. We are proud to be the first to address the importance of mental health through different products and services and thought leading iconic research. Our overall Sustainability Strategy, with emphasis on climate strategy and biodiversity commitment, is developed based on TCFD recommendations. We are committed to integrating environmental, social and governance factors across our business and strive to contribute to a sustainable future through 3 distinct roles - as an investor, an insurer and an exemplary company.

AXA is an equal opportunity employer. We are committed to promoting Inclusion and Diversity (I&D) by creating a work environment where all employees are treated with dignity, respect, and where individual differences are valued. We welcome and treasure diverse profiles to join our big family, and to build an inclusive culture together which allows everyone to maximise their personal potential.

Our people strategies are designed to enhance employee well-being and professional growth, ultimately empowering them to excel within the company.

Responsibilities

Discovery and problem framing

• 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 proof-of-concept (PoC) activities and consolidate assessment results to inform implementation decisions and platform integration.

Requirements and solution design

• Work with business stakeholders, product owner and Scrum Master to understand business objectives, pain points, processes and data flows related to AI use cases.
• Elicit, analyze and document business requirements, user journeys, process maps and use cases for AI products, chatbots/voicebots and AI-enabled platform features.
• 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 and benefits hypotheses.

AI use cases, process and data exploration

• Work with business, data and AI teams to identify and prioritize AI use cases, including customer service, operations, distribution, underwriting or claims scenarios.
• Support AI readiness assessments by documenting data sources, process constraints, regulatory considerations and success metrics.
• Collaborate with data scientists and AI engineers to ensure requirements for training data, model outputs and integration are clearly defined and testable.

Stakeholder collaboration and adoption

• Conduct user interviews, co-design workshop and hands-on UAT; translate feedback into backlog items.
• 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.

Compliance and responsible AI

• 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.

Value realization and change management

• Benefit tracking (time saved, accuracy uplift, NPS/CSAT, STP rates), set up baseline and post-go-live measurement.
• Plan and support change, training and comms to drive adoption and business outcomes.

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.