Data Governance, Consultant

Roles & Responsibilities

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.

Tell employers what skills you have

Tableau
Data Quality Checks
Dashboards
Roadmap
governance framework
Data Management
Governance
Databricks
Data Governance
Data Lineage
SQL
Data Quality Management
Power BI
Metadata Management