Develop and enforce AI & Data governance frameworks (bias, explainability, lifecycle)
Ensure data privacy laws and security regulations; manage AI data risks
Implement data lineage, metadata, data management, and quality frameworks
Track data from source to AI output; identify data causing drift when models fail
Define roles for data custodians, users, and AI developers; promote transparency and fairness
Implement governance tools (Collibra, Informatica) and automate audit procedures

🎯 Requirements

AI governance across pillars: ethics, privacy, compliance, transparency
Python and SQL programming
Databricks DAGF/DASF, MLFlow, Unity Catalog, RAG governance
Cloud platforms: AWS, Azure, or GCP; AWS data platform preferred
Regulatory knowledge: GDPR, EU AI Act, HIPAA, etc
Data lineage, auditability, masking, encryption, SOC2

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