Senior Manager, Data Governance

AIA Hong Kong and Macau; Kuala Lumpur; On-site; MYR 80,000 - 120,000; Full time

Job summary

AIA Hong Kong and Macau is seeking a data governance professional in Kuala Lumpur to support 18+ business units across Asia Pacific. This role is critical for maintaining high data quality standards.

The ideal candidate has 5-10 years of experience in data governance, proficiency in data tools, and a strong analytical mindset. Key responsibilities include implementing data governance standards, managing data quality assessments, and collaborating with various business functions.

Qualifications

• 5-10 years of hands-on experience in data governance.
• Ability to govern unstructured data such as critical documents.
• Experience with data quality assessment tools.

Responsibilities

• Implement the Group Data Governance Standard.
• Develop guidelines on data governance.
• Produce monthly data quality dashboards.

Skills

Data governance experience

Knowledge of unstructured data

Proficiency in Python

Experience with PowerBI

Project management

Good communication

Analytical mindset

Education

University graduate in IT or Computer Science

Tools

Data360 Govern and Analyze

PowerBI

Job description

About the Role

To become a pivotal part of Group Data Governance by partnering with 18+ local business units across Asia Pacific and Group functions (Operations, Healthcare, Investment, Finance and Human Resources) to deliver best data quality and governance for both structured and unstructured data.

This role will be based in Malaysia with a Groupwide scope and acts as an extension of the Group Data Governance team to independently support business units and Group functions on data governance.

Roles and Responsibilities

• Support 18+ business units and Group functions in implementing the Group Data Governance Standard.
• Support the review, revision and expansion of the Group Data Governance Standard.
• Develop guidelines on data governance, e.g. reference data management and data format definitions.
• Support new initiatives to expand the scope of data governance to unstructured data (e.g., critical documents) in addition to structured data (CDEs).
• Support audits related to data governance and quality at Group and business unit levels; prepare data quality key risk indicators for reporting; support data risk and control assessments.
• Enhance and maintain the data quality issue management (DQIM) module; produce monthly Group data quality issue management dashboards.
• Review data quality metrics; investigate data quality issues to understand root causes and follow up remediation plans with business units.
• Support the review and revision of data quality thresholds for identifying data quality issues.
• Manage and upgrade the Groupwide data governance tool and VM; research, identify and assess data governance tools, including those to govern structured and unstructured data, and with AI capabilities.
• Maintain and enhance the Groupwide data dictionary of CDE definitions, including CDEs, data quality rules, reference data, data quality thresholds, data domains, data owners, database mapping, PII labels, data classifications, metadata and business glossary; support Group data owner functions.
• Support Group data owner functions in defining enhanced and additional CDEs as well as data quality rules, e.g. for health clinical coding data standardisation.
• Support reference data management.
• Support business units on setting and monitoring data quality implementation targets; enhance the Group frameworks for data quality assessments; upskill business units and Group functions on implementing and running monthly data quality assessments on CDEs.
• Collect and consolidate data quality metrics from business units and Group functions; produce Group data quality dashboards.
• Review business units’ data quality implementation and data quality metrics; deliver financial and non‑financial measures such as compliance with the Group Data Governance Standard, new metrics for unstructured data governance, audit observations, CDE implementation %, Data Quality %, Number of Data Quality Issues, TDA Healthcare Data Richness KPI and CDE coverage reviews.
• Coordinate and follow up with business units and Group functions on data governance matters; alignments across parties; liaise with external vendors on data governance tooling and VM.

Job Requirements

• Education: University graduate or above in IT, Computer Science or related disciplines.
• Experience: 5-10 years of hands‑on experience working on data governance or related data areas independently, using data tools based on business needs and regulatory requirements.
• Technical Skills:
  • Experience governing unstructured data, e.g., critical documents and images.
  • Experience independently setting up, upgrading and managing data governance and data quality assessment software, preferably Data360 Govern and Analyze or equivalent tools, and VM.
  • Experience building and maintaining data dictionaries on data governance platforms, including CDEs, data quality rules, reference data, data quality thresholds, data domains, data owners, database mapping, PII labels, data classifications, metadata and business glossary.
  • Experience performing data quality assessments using data quality assessment tools.
  • Experience producing regular data quality dashboards using PowerBI or equivalent tools.
  • Proficiency in Python, Unix, PowerPoint, Excel.
• Specific Skills:
  • Good verbal and written communications.
  • Experience working remotely with overseas counterparts.
  • Ability to work independently.
  • Analytical mindset.
  • Project management experience preferred.
  • Can‑do attitude, quick learner, attention to detail.
  • Insurance industry or banking experience preferred.
  • Knowledge of health data preferred, especially clinical coding data standards.