Data Governance Senior Consultant

NTT DATA, Inc.

Chennai District

Hybrid

INR 3,000,000 - 6,000,000

Full time

2 days ago
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Job summary

NTT DATA, Inc. is seeking a Data Governance Architect to join our Data Practice – Data Governance COE in Chennai, India. This senior consultant role drives enterprise governance capabilities, supports pre-sales, and leads solution architecture and delivery initiatives.

The ideal candidate has 10+ years in data management and 4+ years with leading governance platforms, delivering governance models, cataloging, and policy management at scale.

Qualifications

  • 10+ years in Data Management, Data Governance, Data Architecture, or Enterprise Information Management.
  • 4+ years hands-on with leading Data Governance platforms such as Collibra, Purview, IDMC, or Alation.

Responsibilities

  • Partner with sales teams and customers to understand business and regulatory requirements.
  • Lead discovery workshops and governance maturity assessments.
  • Design enterprise Data Governance solutions aligned with business and technology objectives.
  • Prepare architecture documents, roadmaps, proposals, and effort estimations.
  • Support RFP/RFI responses and customer presentations.
  • Define governance operating models and adoption roadmaps.
  • Work with enterprise architects and data leaders during solution design.

Skills

Data governance
Solution architecture
Stakeholder management
Pre-sales
Enterprise data management

Tools

Collibra
Microsoft Purview
Informatica IDMC
Alation

Job description

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We are currently seeking a Data Governance Senior Consultant to join our team in Chennai, Tamil Nādu (IN-TN), India (IN).

Experience
  • Overall Experience: 10+ years in Data Management, Data Governance, Data Architecture, or Enterprise Information Management
  • Relevant Experience: 4+ years of hands‑on experience with one or more leading Data Governance platforms such as Collibra, Microsoft Purview, Informatica Intelligent Data Management Cloud (IDMC), Alation, or similar enterprise data governance solutions.
  • Location: Flexible / Hybrid (based on business needs)
Role Summary

We are seeking an experienced Data Governance Architect to join our Data Practice – Data Governance Center of Excellence (COE). This is a strategic consulting and technical leadership role responsible for building and growing our enterprise Data Governance capability while supporting pre‑sales, solution architecture, project delivery, innovation, and competency development.

The ideal candidate will have deep expertise in implementing enterprise Data Governance platforms and frameworks, along with strong consulting, stakeholder management, and solution architecture skills.

Key Responsibilities
  • Partner with sales teams and customers to understand business and regulatory requirements.
  • Lead discovery workshops and governance maturity assessments.
  • Design enterprise Data Governance solutions aligned with business and technology objectives.
  • Prepare architecture documents, implementation roadmaps, proposals, and effort estimations.
  • Support RFP/RFI responses and customer presentations.
  • Define governance operating models, implementation strategies, and adoption roadmaps.
  • Work closely with enterprise architects, data leaders, and business stakeholders during solution design.
Proof of Concepts (POCs) & Innovation
  • Design and develop Data Governance proof‑of‑concepts for prospective customers.
  • Demonstrate capabilities across metadata management, business glossary, data catalog, lineage, data quality, and policy management.
  • Evaluate emerging governance technologies and recommend best‑fit solutions.
  • Create reference implementations showcasing governance capabilities and business value.
Delivery Support
  • Provide architecture oversight across Data Governance implementation projects.
  • Review solution designs and ensure adherence to enterprise standards and best practices.
  • Guide implementation teams on platform configuration, metadata integration, lineage, cataloging, workflow automation, and security.
  • Support complex technical challenges, governance operating model implementation, and platform optimization.
  • Ensure successful integration with enterprise data platforms and business applications.
Competency & COE Development
  • Build and strengthen the organization's Data Governance competency.
  • Define implementation standards, governance frameworks, reusable methodologies, and best practices.
  • Mentor architects, consultants, and engineers.
  • Conduct internal training sessions, workshops, and knowledge‑sharing initiatives.
  • Develop learning paths and certification plans for Data Governance technologies.
  • Contribute to practice growth through thought leadership, whitepapers, and technical blogs.
Accelerators & Framework Development
  • Build reusable accelerators, templates, governance workflows, and implementation frameworks.
  • Develop governance operating model templates, business glossary structures, metadata standards, and policy templates.
  • Data Catalog
  • Metadata Management
  • Business Glossary
  • Data Classification
  • Data Ownership
  • Data Stewardship
  • Data Quality Monitoring
  • Compliance Reporting
  • Continuously improve delivery methodologies and automation capabilities.
Required Technical Skills
Data Governance

Strong experience implementing enterprise Data Governance initiatives including:

  • Data Governance Frameworks
  • Governance Operating Model
  • Data Stewardship
  • Business Glossary
  • Data Catalog
  • Technical Metadata Management
  • Business Metadata Management
  • Data Classification
  • Data Ownership
  • Policy Management
  • Reference Data Management
  • Data Quality Governance
  • Data Privacy
  • Regulatory Compliance
  • Data Lifecycle Management
Platform Expertise

Hands‑on implementation experience with one or more of:

  • Collibra
  • Microsoft Purview
  • Alation
  • Microsoft Fabric Data Governance capabilities (preferred)
  • Other enterprise governance platforms

Should have experience in:

  • Metadata ingestion and scanning
  • Business glossary implementation
  • Data catalog configuration
  • Technical and business lineage
  • Workflow design
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