Data Governance, Consultant

AIA Singapore; Singapore; On-site; SGD 110,000 - 180,000; Full time

Job summary

AIA Singapore is seeking a Data Governance Consultant to lead enterprise data governance, quality, and strategy initiatives. You will work with business data owners and stewards to define frameworks and promote best practices across the organization.

Responsibilities include leading data quality programs, maintaining data models and warehouse structures, and driving AI-enabled data capabilities. Collaboration with cross-functional teams is essential for delivering value.

Qualifications

• Bachelor’s degree in analytics, information systems, computer science, or related field.
• 5–8 years of experience in data governance, MDM, data quality, or related data management functions.
• Strong knowledge of data governance frameworks, data quality management, metadata management, data lineage, and enterprise data management principles.
• Hands-on experience with data governance platforms such as Data360 and proficiency in SQL, Databricks, Tableau, Power BI, or comparable analytics and BI tools.
• Demonstrated ability to analyze, manage, and derive insights from large, complex datasets from multiple systems.
• Experience designing and delivering dashboards and analytical solutions for data-driven decision making.

Responsibilities

• Develop and execute enterprise data governance and data strategy initiatives aligned with the Enterprise Data Roadmap.
• Establish, implement, and promote data governance frameworks, policies, standards, and best practices across the organization.
• Lead data quality assessment and improvement programs for critical data elements, leveraging governance tools.
• Define and maintain enterprise data models and data warehouse structures to ensure alignment with business requirements.
• Drive continuous improvement of data quality, accuracy, completeness, consistency, and timeliness through governance controls and reporting.
• Collaborate with business and technology stakeholders to strengthen data architecture, data accountability, and data sharing capabilities, exploring AI-driven solutions to enhance value.
• Coordinate governance-related discussions, working groups, and council meetings, including management reporting materials.

Skills

Data governance

Data quality

MDM

Data modeling

Metadata management

Data analytics

Stakeholder management

Data culture

Data strategy

Education

Bachelor’s degree in analytics, information systems, CS

Tools

Data360

SQL

Databricks

Tableau

Power BI

Job description

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 organization 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. To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone. If you believe in developing a better tomorrow, read on.

About the Role

In this role, the Data Governance Consultant will be responsible for:

• the development and execution of Data Strategies and Data Governance initiatives of AIA Singapore
• Developing best practice to support business decisions, with measurable success to drive business growth, effectiveness and create valuable best practices in the market
• Developing processes, tools and governance framework to harness and manage internal and external data to help business units deliver superior business insights

Responsibilities

• Develop and execute enterprise data governance and data strategy initiatives aligned with the Enterprise Data Roadmap, partnering closely with business data owners and data stewards.
• Establish, implement, and promote data governance frameworks, policies, standards, and best practices across the organization.
• Lead data quality assessment and improvement programs for critical data elements, leveraging governance tools such as Metadata Management, Master Data Management (MDM), Reference Data Management, and Data Quality platforms.
• Define and maintain enterprise data models and data warehouse structures to ensure alignment with business requirements, scalability, and consistency.
• Drive continuous improvement of data quality, accuracy, completeness, consistency, and timeliness through governance controls, monitoring, and reporting to relevant governance forums.
• Collaborate with business and technology stakeholders to strengthen data architecture, data accountability, and data sharing capabilities, while exploring AI-driven solutions (including Databricks AI and Genie) to enhance data governance and business value delivery.
• Coordinate and facilitate governance‑related discussions, working groups, and council meetings, including the preparation, consolidation, and presentation of management reporting materials.

Requirements

• Bachelor’s degree in Analytics, Information Systems, Computer Science, or a related discipline.
• 5–8 years of experience in Data Governance, Master Data Management (MDM), Data Quality, or related data management functions.
• Strong knowledge of Data Governance frameworks, data quality management, metadata management, data lineage, and enterprise data management principles.
• Hands‑on experience with Data Governance platforms such as Data360 and proficiency in SQL, Databricks, Tableau, Power BI, or comparable analytics and BI tools.
• Demonstrated ability to analyze, manage, and derive insights from large, complex, and high‑volume datasets sourced from multiple systems.
• Experience designing and delivering dashboards, reports, and analytical solutions that enable data‑driven decision‑making and business performance monitoring.
• Excellent analytical, problem‑solving, project management, and stakeholder management skills, with a proven ability to collaborate across cross‑functional teams, influence stakeholders at all levels, and successfully deliver multiple initiatives within established timelines.