Data Governance Senior Consultant
NTT AMERICA · Tennessee
📍 Chennai, IN-TNvia phenomPosted 2026-09-06
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Req ID: 376323
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
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
Pre-Sales & Solutioning
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.
Create reusable assets for:
Data Catalog
Metadata Management
Data Lineage
Business Glossary
Data Classification
Data Ownership
Data Stewardship
Data Policies
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 Lineage
Data Classification
Data Ownership
Policy Management
Reference Data Management
Metadata Harvesting
Data Quality Governance
Data Privacy
Regulatory Compliance
Data Lifecycle Management
Platform Expertise
Hands-on implementation experience with one or more of:
Collibra
Microsoft Purview
Informatica IDMC (Data Governance & Catalog)
Alation
Informatica Enterprise Data Catalog (EDC)
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
Role-based access and security
Policy implementation
Data stewardship workflows
API integration
Automation
Data Management
Strong understanding of:
Data Architecture
Data Modeling
Master Data Management
Reference Data Management
Data Warehousing
Data Lakes
Lakehouse Architecture
Metadata Management
Data Integration
Data Migration
Data Quality
Data Integration & Cloud
Experience with enterprise integration technologies such as:
Informatica IDMC
Azure Data Factory
Microsoft Fabric
Databricks
Snowflake
AWS Data Services
Google Cloud Data Services
Apache Kafka
REST APIs
SQL
Python
PowerShell or scripting for automation
Compliance & Governance Standards
Knowledge of:
DAMA DMBOK
DCAM
GDPR
CCPA
HIPAA (preferred)
BCBS 239 (preferred)
Data Privacy regulations
Information Security principles
Preferred Skills
Experience defining enterprise-wide Data Governance operating models.
Knowledge of Data Mesh and Data Products.
Experience implementing governance i
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