Job Responsibilities

• Support the development and maintenance of enterprise data architecture, standards, policies, and governance frameworks.
• Establish and enhance data governance practices including data ownership, stewardship, quality management, metadata management, lineage tracking, and lifecycle governance.
• Partner with business and technology stakeholders to align data initiatives with organizational objectives and digital transformation goals.
• Define and promote data management standards to improve data consistency, accessibility, quality, and reusability across the enterprise.
• Support the design and implementation of data integration, information management, and reporting solutions.
• Collaborate with business users, application teams, infrastructure teams, and external partners to develop scalable and secure data capabilities.
• Drive initiatives that improve analytics readiness and support enterprise reporting, business intelligence, and data-driven decision-making.
• Assess and support organizational readiness for AI-enabled solutions, including data quality, governance, security, privacy, and responsible AI considerations.
• Evaluate and recommend emerging data technologies, analytics platforms, and enterprise data management solutions.
• Promote data governance awareness and data literacy across business and technology teams.
• Monitor industry trends and best practices in data architecture, analytics, governance, and AI.
• Provide guidance and support on data-related projects and perform other duties as assigned.

Job Requirements

• Bachelor's degree in Computer Science, Information Technology, Information Systems, Data Management, Engineering, or a related discipline.
• 5 years of relevant IT experience, including experience in data architecture, data governance, analytics platforms, data management, or technical leadership roles.
• Solid understanding of enterprise data architecture, data modelling, data integration, data governance, and information management principles.
• Hands-on experience establishing data quality frameworks, metadata management practices, data lineage, master data management, and governance controls.
• Experience working closely with business stakeholders, data owners, and technology teams to define and implement enterprise data standards.
• Knowledge of enterprise reporting, business intelligence, analytics platforms, and data-driven decision-making practices.
• Familiarity with modern data platforms, cloud-based data services, data lakes, lakehouse architectures, and data warehousing solutions.
• Exposure to AI data readiness, data governance for AI, responsible AI principles, and data requirements for AI-enabled business solutions.
• Experience with technologies such as Microsoft Fabric, Azure Data Platform, Databricks, Power BI, Dataverse, or similar enterprise platforms would be advantageous.
• Strong stakeholder management, communication, and problem-solving skills.
• Proficiency in both English and Chinese, written and spoken.