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 up-to-date cloud data platforms including Azure, Snowflake, Databricks, and Microsoft Fabric.
- Experience driving cross-functional governance programs in large enterprises.
- Strong communication and stakeholder management skills.

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