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AIA Group

Pan-Asian life insurance provider

Customer AI & Analytics Product Principal Senior Manager

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeHong KongNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Business, Marketing, Information Systems, Data Science, Statistics, Computer Science, or a related discipline is required.
  • Relevant experience in product management, data product management, AI product delivery, customer analytics, digital transformation, or related areas is required.
  • A good understanding of customer data platforms, customer tagging, segmentation, metadata management, data quality, and data governance concepts is required.
  • The candidate must be able to translate business needs into clear product requirements, user stories, minimum viable product scope, success metrics, and delivery plans.
  • The candidate must be able to interpret data and translate insights into practical business actions.
  • Project management, stakeholder management, communication, and presentation skills are required.
  • The candidate must have a customer-centric mindset and sound business acumen, and be able to balance user needs, technical feasibility, governance requirements, and business value.
  • The candidate must be able to work collaboratively in a fast-paced environment, manage ambiguity, and drive change effectively.
  • Relevant licenses must be acquired if the job involves regulated activities.

Responsibilities

  • Manage integrated data and artificial intelligence products to support customer intelligence, marketing effectiveness, operational efficiency, and business innovation.
  • Define product vision, roadmap, and priorities for data and artificial intelligence products, including customer data platform capabilities, tagging, segmentation, and artificial intelligence-enabled solutions.
  • Translate business needs into reusable data capabilities, customer tags, segmentation logic, and practical artificial intelligence use cases with clear requirements, minimum viable product scope, and success measures.
  • Work with business, analytics, technology, data governance, legal, and compliance teams to gather requirements, align priorities, and manage delivery expectations.
  • Coordinate product delivery, user acceptance testing, release readiness, launch support, and adoption tracking, supported by appropriate documentation and user guidance.
  • Ensure data and artificial intelligence products meet relevant requirements for data quality, metadata, access control, privacy, compliance, responsible artificial intelligence, and operational readiness.
  • Monitor product performance, adoption, and business impact, and identify opportunities to improve customer data products, artificial intelligence use cases, and user experience.

Desired Qualifications

  • A master's degree is preferred.
  • Knowledge of artificial intelligence use case design, generative artificial intelligence applications, machine learning concepts, or artificial intelligence-enabled workflow automation is advantageous.
  • Working knowledge of data analysis, data visualisation, or product delivery tools such as SQL, Python, Power BI, Tableau, or Jira is advantageous.
  • Candidates with less experience may be considered for a Consultant role.

About the Company

AIA Group

Pan-Asian life insurance provider

AIA Group provides life insurance and related financial protection across Asia. It sells life insurance, protection, and long-term savings products to individuals and groups, paying benefits and claims when needed. It differentiates itself with a pan-Asian footprint across 18 markets, long-standing customer and agent relationships, and a strong focus on environmental, social, and governance practices. Its goal is to be a leader in ESG while helping millions live Healthier, Longer, Better Lives and creating long-term value for stakeholders.

Company size
10,001+
Company stage
Not listed
Total funding
$618.7M
Headquarters
Central and Western District, Hong Kong
Founded
Not listed

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