About the role
Responsibilities
- Plan and execute projects on driving AI in data governance and management, including automated metadata management, end to end data lineage tracking and impact analysis
- Develop and optimize AI models for applications such as automated data classification and grading, sensitive data identification, data anomaly detection, and automated data quality rule generation
- Integrate AI capabilities into the existing data management framework, plan and implement multimodal data governance
- Collaborate closely with various stakeholders to identify business scenarios where AI can enhance data management and drive implementation
- Conduct internal training and knowledge transfer to enhance the team's professional capabilities in AI-driven data management
- Develop and uphold data governance policies related to AI, ensuring adherence to ethical guidelines, privacy regulations and internal data security standards.
- Conduct research for regulatory requirements and best market practices of AI data governance
- Support other data management tasks as required
Requirements
- Degree or above in Data Science, Artificial Intelligence, Financial Engineering, or a related field
- 5+ years of experience in data management and AI/ML projects, with at least 3 years focused on AI applications in the data domain is preferred
- Strong experience with technologies such as NLP, knowledge graphs and ontology applications
- Experience in the financial industry (especially banking) in data governance or AI projects is prioritized
- Well versed with AI tools application and familiar with Microsoft Office (including Chinese typing)
- Possession of CDMP or similar data governance certifications is preferred
- Excellent communication skill and with team-work spirit
Candidates with less experience will be considered as Associate Data Analyst.