Data Governance, Consultant Transformation Lead

6 days ago


Hong Kong, Central and Western District, Hong Kong SAR China AIA International Limited. Full time
About the Role

At AIA International Limited, we are embarking on a transformative journey to create a healthier, more sustainable future for everyone. As pioneers in the industry for over 100 years, we are now shifting our organization to be faster, simpler, and more connected. This enables us to develop digital solutions and experiences that will have a profound impact on the lives of millions of people, ultimately creating a healthier future for all.

We are seeking a seasoned professional with expertise in data governance and analytics to support the implementation of our Data Management and Governance Framework across the enterprise. The successful candidate will work closely with stakeholders to propose strategic initiatives, prioritize sequencing, coordinate implementation, define standards, and track performance metrics. This role also involves acting as a subject matter expert on data governance-related projects.

  • Facilitate Group and Local Critical Data Elements (CDEs) implementation and monitoring.
  • Conduct root cause analysis of data quality issues and drive corrective actions.
  • Moderate discussions between Group and Local Business Units on group data governance/quality requirements and any related issues.
  • Enhance data healthiness through our established data quality management framework.
  • Support senior management executives during data council meetings.
  • Develop and maintain the data operating model, including data quality issue management, metadata management, etc., aligned with our data maturity.
  • Drive business adoption of the OCMD Data Model.
  • Execute activities supporting the agreed AIA HK Data Governance Roadmap.
  • Maintain AI and Data Governance standards.
  • Identify opportunities for data governance process automation.
  • Manage data-related projects.

This position requires a strong technical foundation and knowledge of AI, BI, data modeling, and data analytics. The ideal candidate should possess industry-leading data quality and protection management practices, as well as data governance principles, business processes, and technology issues related to managing enterprise information assets.



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