(Senior) Data Analyst (AI Data Management)

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.