Customer AI & Analytics Product, Principal

At AIA, we've started an exciting movement to create a healthier, more sustainable future for everyone.

As pioneering innovators for over 100 years, we're now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.

The position is responsible for the end-to-end management of integrated data and AI products to enhance customer intelligence, support data-driven decision-making and improve customer engagement across Hong Kong and Macau.

Roles and Responsibilities:

• Product Strategy and Roadmap: Define product vision, roadmap and priorities for data and AI products, including customer data platform capabilities, tagging, segmentation and AI-enabled solutions.
• Data and AI Product Development: Translate business needs into reusable data capabilities, customer tags, segmentation logic and practical AI use cases with clear requirements, MVP scope and success measures.
• Stakeholder Management: Work with business, analytics, technology, data governance, legal and compliance teams to gather requirements, align priorities and manage delivery expectations.
• Delivery and Adoption: Coordinate product delivery, UAT, release readiness, launch support and adoption tracking, supported by appropriate documentation and user guidance.
• Governance and Quality: Ensure data and AI products meet relevant requirements for data quality, metadata, access control, privacy, compliance, responsible AI and operational readiness.
• Performance Improvement: Monitor product performance, adoption and business impact, and identify opportunities to improve customer data products, AI use cases and user experience.

Minimum Job Requirements:

• Bachelor's degree in Business, Marketing, Information Systems, Data Science, Statistics, Computer Science or a related discipline. A Master's degree is preferred.
• Relevant experience in product management, data product management, AI product delivery, customer analytics, digital transformation or related areas.
• Good understanding of customer data platforms, customer tagging, segmentation, metadata management, data quality and data governance concepts.
• Knowledge of AI use case design, generative AI applications, machine learning concepts or AI-enabled workflow automation would be an advantage.
• Proven ability to translate business needs into clear product requirements, user stories, MVP scope, success metrics and delivery plans.
• Strong analytical, problem-solving and structured thinking skills, with the ability to interpret data and translate insights into practical business actions.
• Working knowledge of data analysis, visualisation or product delivery tools such as SQL, Python, Power BI, Tableau, Jira or similar platforms would be an advantage.
• Excellent project management, stakeholder management, communication and presentation skills.
• Customer-centric mindset with sound business acumen and the ability to balance user needs, technical feasibility, governance requirements and business value.
• Ability to work collaboratively in a fast-paced environment, manage ambiguity and drive change effectively.