Data Governance Lead

Zoho; Chennai District; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Staples India Business Innovation Hub Private Limited in Chennai seeks a Data Governance Lead to establish and scale the enterprise data governance framework, covering data catalog, glossary, lineage, semantic layer, and trusted data products using Atlan, Alation, Purview and related tech.

You will partner with Data Eng, Analytics, AI/ML, Enterprise Architecture, Business Teams, and Product Leaders to enable analytics, generative AI, and data-driven decision making, while building metadata,

Qualifications

• 8+ years of experience in Data Governance, Metadata Management or related disciplines.
• Hands-on experience with Atlan, Alation, Microsoft Purview, Collibra.
• Strong understanding of metadata management, 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.
• Strong communication and stakeholder management skills.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Skills

Data Governance

Metadata Management

Data Architecture

Analytics

Stakeholder Management

Communication

Tools

Atlan

Alation

Microsoft Purview

Collibra

Job description

Staples India Business Innovation Hub Private Limited | Permanent

We are seeking aData Governance Lead to establish and scale the enterprise data governance framework that powers analytics, AI, and autonomous agents. This role will leadthe design and governance of the organization's data catalog, businessglossary, data lineage, semantic layer, and trusted data products usingplatforms such as Atlan, Alation, Microsoft Purview, and related technologies.

The ideal candidateunderstands that modern governance extends beyond compliance and documentation.They will build the metadata, business context, semantic models, and trustframeworks that enable humans and AI agents to consistently discover, understand,and use enterprise data at scale.

This role willpartner closely with Data Engineering, Analytics, AI/ML, EnterpriseArchitecture, Business Teams, and Product Leaders to create an enterpriseknowledge foundation that supports analytics, generative AI, agentic workflows,and data-driven decision making.

Key Responsibilities

Enterprise DataGovernance Strategy

• Define and execute the enterprise data governance roadmap.
  
• Establish governance processes, operating models, stewardshipresponsibilities, and accountability frameworks.
  
• Develop standards for data quality, metadata management, lineage,classification, and access governance.
  
• Drive adoption of governance practices across business andtechnology teams.
  

Metadata &Knowledge Management

• Lead implementation and optimization of Atlan, Alation, Purview, orsimilar governance platforms.
  
• Build and maintain enterprise business glossaries, taxonomies, andknowledge frameworks.
  
• Establish metadata standards that improve discoverability and trustin enterprise data assets.
  
• Create governance processes for capturing business context andinstitutional knowledge.
  

Semantic Layer &Data Products

• Define enterprise semantic layer strategy across analytics and AIplatforms.
  
• Partner with domain teams to create governed business metrics andstandardized definitions.
  
• Establish lifecycle management for data products and certified dataassets.
  
• Enable consistent business logic across reporting, analytics, AIsolutions, and self-service platforms.
  

AI & AgentReadiness

• Establish governance frameworks for AI-ready data assets.
  
• Create structures that enable AI systems and autonomous agents tounderstand business context, metrics, definitions, and relationships.
  
• Define standards for contextual metadata, business rules, semanticrelationships, and knowledge representation.
  
• Partner with AI and Data Science teams to ensure trusted, governeddata is available for AI applications.
  
• Develop governance controls for AI-generated insights andagent-based decision support systems.
  

Data Quality &Trust

• Establish enterprise-wide data quality standards, monitoring, andremediation processes.
  
• Define critical data elements and associated quality metrics.
  
• Develop trust scores, certification processes, and governanceworkflows for enterprise data assets.
  
• Drive continuous improvement of data reliability and usability.
  
• Build end-to-end visibility of data lineage across enterpriseplatforms.
  
• Establish impact analysis processes for changes to critical dataassets.
  
• Improve transparency into how data moves from source systems throughanalytics and AI applications.
  
• Support compliance, audit, and operational risk managementrequirements.
  

StakeholderLeadership

• Partner with business leaders to define ownership and stewardshipfor critical data domains.
  
• Facilitate governance councils and cross-functional datacommunities.
  
• Drive adoption and organizational change management initiatives.
  
• Influence senior leaders on the strategic value of governance,semantic layers, and AI-ready data foundations.
  

Requirements

RequiredQualifications

• 8+ years of experience in Data Governance, Metadata Management, DataArchitecture, 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 largeenterprises.
  
• Strong communication and stakeholder management skills.
  

PreferredQualifications

• Experience supporting Generative AI, Agentic AI, Knowledge Graph,RAG, or AI governance initiatives.
  
• Knowledge of semantic technologies, ontology design, taxonomymanagement, and knowledge representation.
  
• Experience implementing data mesh or domain-oriented data ownershipmodels.
  
• Familiarity with AI observability, model governance, and responsibleAI principles.
  
• Experience defining context frameworks that improve AI and agentunderstanding of enterprise information.