Data Governance and AI Governance Architect / Lead
Purpose: Lead the design and implementation of the organization's Data Governance and AI governance framework, operating model, and governance roadmap to improve data control, accountability, compliance, and business value.
Key Responsibilities:
• Define and implement the Data Governance framework, charter, operating model, and stakeholder RACI.
• Establish governance standards for metadata, business glossary, stewardship, classification, access, Data Quality and policy compliance.
• Align governance practices with regulatory and privacy requirements, including DPDP readiness.
• Lead DG tool assessment, selection support, onboarding, and implementation oversight.
• Drive onboarding of data owners and data stewards across business and technology teams.
• Define governance KPIs, control metrics, audit mechanisms, and continuous improvement plans.
• Conduct governance assessments and translate findings into phased implementation roadmaps.
• Run governance committees, stakeholder reviews, awareness sessions,
and change management activities.
Define and implement enterprise
AI Governance policies
, standards, controls, and operating procedures aligned with Responsible AI principles.
• Establish governance practices for AI/ML models, Generative AI applications, training data, prompts, model outputs, and AI lifecycle management.
• Develop AI risk management frameworks covering bias, fairness, explainability, accountability, transparency, privacy, security, and ethical AI usage.
• Collaborate with Data Science, Technology, Security, Legal, Compliance, and Risk teams to establish AI governance operating models and control frameworks.
• Define standards for AI model inventory, model documentation, approval workflows, monitoring, validation, and periodic review processes.
• Establish governance controls for AI training datasets, synthetic data usage, data lineage, data provenance, and model traceability.
Requi
📌 AI and Data Governance Manager (India)
🏢 Ekloud
📍 India