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The Data Governance Analyst role at NTT DATA involves hands-on implementation and configuration of Collibra to support enterprise data governance initiatives. This role is focused on hands-on implementation and configuration of Collibra, working closely with data governance stakeholders, stewards, and platform teams to operationalize cataloging, stewardship, lineage, and policy workflows.
Job Responsibility:
Configure and support Collibra Data Catalog capabilities including data assets, domains, communities, and operating models
Implement and manage business glossaries, stewardship assignments, and certification workflows
Configure Collibra workflows (out-of-the-box and customized) to support governance, stewardship, and approval processes
Support metadata curation and enrichment
Support technical and business lineage use cases
Assist with data classification and tagging
Support policy linkage and governance controls within Collibra
Work with data stewards, governance leads, and business stakeholders to capture governance requirements
Support onboarding and adoption by guiding users
Communicate governance concepts clearly
Support integration of Collibra with upstream and downstream systems
Assist with ongoing platform usage, operational support, and continuous improvement of Collibra configurations
Requirements:
Hands-on experience with Collibra as a data governance and data catalog platform
Practical experience working with: Business glossaries and stewardship models
Data cataloging and asset certification
Governance workflows
Metadata and lineage concepts
Experience supporting enterprise-scale data governance programs
Strong collaboration and communication skills
Minimum of 5 years of experience in data governance or related fields
Nice to have:
Familiarity with adjacent governance or catalog tools (e.g., Alation)
Experience supporting enterprise data catalog capabilities, including: Asset discovery and certification
Business and technical lineage
Policy and governance enablement
Role-based access and stewardship models
Working knowledge of SQL and general data platform concepts
Exposure to cloud-based data platforms (AWS, Azure, or GCP)
Ability to learn and adapt within a complex enterprise environment