Data Governance Lead - J50769

Role & responsibilities

Key Responsibilities
Enterprise Data Governance Strategy
• Define and execute the enterprise data governance roadmap.
• Establish governance processes, operating models, stewardship responsibilities, and accountability frameworks.
• Develop standards for data quality, metadata management, lineage, classification, and access governance.
• Drive adoption of governance practices across business and technology teams.
Metadata & Knowledge Management
• Lead implementation and optimization of Atlan, Alation, Purview, or similar governance platforms.
• Build and maintain enterprise business glossaries, taxonomies, and knowledge frameworks.
• Establish metadata standards that improve discoverability and trust in enterprise data assets.
• Create governance processes for capturing business context and institutional knowledge.
Semantic Layer & Data Products
• Define enterprise semantic layer strategy across analytics and AI platforms.
• Partner with domain teams to create governed business metrics and standardized definitions.
• Establish lifecycle management for data products and certified data assets.
• Enable consistent business logic across reporting, analytics, AI solutions, and self-service platforms.
AI & Agent Readiness
• Establish governance frameworks for AI-ready data assets.
• Create structures that enable AI systems and autonomous agents to understand business context, metrics, definitions, and relationships.
• Define standards for contextual metadata, business rules, semantic relationships, and knowledge representation.
• Partner with AI and Data Science teams to ensure trusted, governed data is available for AI applications.
• Develop governance controls for AI-generated insights and agent-based decision support systems.




Data Quality & Trust
• Establish enterprise-wide data quality standards, monitoring, and remediation processes.
• Define critical data elements and associated quality metrics.
• Develop trust scores, certification processes, and governance workflows for enterprise data assets.
• Drive continuous improvement of data reliability and usability.
Lineage & Impact Analysis
• Build end-to-end visibility of data lineage across enterprise platforms.
• Establish impact analysis processes for changes to critical data assets.
• Improve transparency into how data moves from source systems through analytics and AI applications.
• Support compliance, audit, and operational risk management requirements.
Stakeholder Leadership
• Partner with business leaders to define ownership and stewardship for critical data domains.
• Facilitate governance councils and cross-functional data communities.
• Drive adoption and organizational change management initiatives.
• Influence senior leaders on the strategic value of governance, semantic layers, and AI-ready data foundations.

Requirements
Required Qualifications
• 8+ years of experience in Data Governance, Metadata Management, Data Architecture, Analytics, or related disciplines.
• Hands-on experience with Atlan, Alation, Microsoft Purview, Collibra, or comparable governance platforms.
• Strong understanding of metadata management, business glossaries, lineage, cataloging, and data quality frameworks.
• Experience building semantic models, business metrics frameworks, and governed data products.
• Understanding of modern cloud data platforms including Azure, Snowflake, Databricks, and Microsoft Fabric.
• Experience driving cross-functional governance programs in large enterprises.
• Robust communication and stakeholder management skills.

📌 Data Governance Lead (Chennai)
🏢 Sampoorna Consultants
📍 Chennai