DATA GOVERNANCE

OBJECTIVES

Delivered a secure, transparent, and policy-aligned data ecosystem, ensuring trust, compliance, and protection across all digital and AI platforms through effective governance of:

• Data Classification
• Metadata Management
• Access Control
• Compliance & Audit Readiness
• Data Lineage & Security Monitoring
• Policy Enforcement

TEAM CAPABILITIES

• Data Governance Leads: Define policies, standards, and stewardship frameworks.
• Data Stewards: Ensure data quality, lineage tracking, and compliance documentation.
• Security & Compliance Team: Manage access reviews, risk assessments, and incident response.
• Automation & Monitoring Support: Develop scripts and alerts for automated scanning and threat detection.
• AI Governance & Ethics Team: Ensure responsible AI deployment and compliance.

DELIVERABLES

• Governance & Compliance Processes: Defined processes for secure and policy-aligned data practices.
• Unified Governance Framework: Centralized model across data, AI, and automation platforms.
• Data Classification & Tagging: Implemented automated classification and tagging systems.
• Metadata & Lineage Visibility: Enabled traceability and auditability.
• Access Control & Security Policies: Enforced RBAC and security controls.
• Continuous Compliance: Embedded regulatory and internal compliance checks.
• Security Oversight: Monitored data movement and risks.
• AI & ML Governance: Ensured transparency and ethical AI usage.