Data Governance and AI Lead
2 days ago
Define the requirements, oversee and validate:
- Data & AI Governance policies & standards to align with client organisation strategies
- Guardrails implementation in AI for the customer needs
- Sensitive data masking for PII information
- Role based access control to data using AI and dashboards
- Acceptance criteria for hallucination, bias
- Audit log for tracking how is the data being accessed and how are users viewing, editing, searching the data
- Data security and access control aspects e.g. encryption, storage, row-level, column-level
- Oversee compliance with data privacy and regulatory standards such as GDPR, SEC, etc.
- Work with security teams to ensure encryption, key management, and secure access to sensitive data
- Take a lead in Data Life Cycle Management initiatives
- Metadata management frameworks to maintain business, technical and operational metadata
- Take a lead in Data Catalog solution using Databricks Unity Catalog
- Establish processes for data profiling, anomaly detection, and remediation workflows
- Report on data quality health and drive continuous improvement initiatives.
Environment AWS & Databricks
it is fine if new person do not have knowledge on Data Quality & Metadata/Catalog management.
However person needs to take care of other Governance aspects like Security, Privacy & Compliance including multi regional needs
The person should have played the governance lead role (for GDPR or ISO in Data & AI projects.
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