Assistant Manager, Data Platform & Analytics

Seeking an experienced data professional to support enterprise data governance, analytics, and AI readiness initiatives. This role will partner with business and technology stakeholders to enhance data quality, governance, reporting, and information management capabilities. The successful candidate will help establish trusted, scalable, and secure data assets, enabling data-driven decision-making and supporting the adoption of modern analytics and AI solutions.

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.