Associate AI Platform Business Analysis Lead

AXA Hong Kong and Macau; Hong Kong; On-site; HKD 480,000 - 720,000; Full time

Job summary

AXA Hong Kong and Macau is seeking a Business Analyst/PMI-like professional to drive AI use cases, engage stakeholders, and translate business needs into data-driven solutions. You will shape problem statements, design requirements, and ensure responsible AI practices across insurance workflows.

The role emphasizes collaboration with business, data and IT teams, documenting user journeys, and ensuring change management to realize measurable value in a regulated financial services context.

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.

Responsibilities

• Discovery and problem framing for AI initiatives.
• Requirements and solution design with stakeholders.
• AI use case exploration and data readiness.
• Stakeholder collaboration and adoption planning.
• Compliance and responsible AI considerations.
• Value realization and change management.

Skills

Requirements gathering

User stories & acceptance criteria

Process modeling

Data literacy

Jira & Confluence

Stakeholder management

Communication

Multilingual: EN/Cantonese/Mandarin

Education

University degree in Business

Information Systems

Data/Analytics

Tools

Jira

Confluence

Job description

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
• Requirements and solution design
• AI use cases, process and data exploration
• Stakeholder collaboration and adoption
• Compliance and responsible AI
• Value realization and change management

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.