Data Governance, Consultant

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.