Data Governance Specialist
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Key details
- Location
- India
- Work style
- Remote
- Level
- Senior
- Job type
- Full-time
- Experience
- 5–8 yrs
- Function
- Operations & Strategy
- Focus area
- other
- Posted
- 7h ago
Skills
About the role
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Collibra Data Governance Specialist based in India.
We are seeking an experienced data governance professional to help build, implement, and scale enterprise-wide data governance capabilities. In this role, you will configure and administer Collibra and other data governance platforms, strengthen metadata management, and improve data transparency across business domains. You will establish business glossaries, data dictionaries, ownership models, and data lineage practices to support reliable, compliant, and trusted data. Working closely with business, analytics, data quality, and IT teams, you will translate governance requirements into practical solutions and encourage adoption of consistent data management practices. This full-time remote opportunity is ideal for someone who combines hands-on platform expertise with strong stakeholder engagement and a passion for improving how organizations manage and use data.
Accountabilities:
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Data Governance Platform Administration: Configure, administer, and enhance Collibra Data Intelligence Cloud and other data governance and catalog platforms to support enterprise-wide governance requirements.
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Operating Model and Workflow Configuration: Customize governance operating models, domains, communities, assets, and workflows to align platform capabilities with business needs and organizational structures.
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Business Glossary and Data Ownership: Develop and maintain business glossaries, data dictionaries, data ownership models, and stewardship practices to improve consistency and clarity across business domains.
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Metadata Management and Cataloging: Ingest, organize, and maintain technical and business metadata from enterprise systems, ensuring data assets are documented, discoverable, and governed effectively.
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Data Lineage and Impact Analysis: Enable automated and manual data lineage, facilitate impact analysis, and support data certification to improve visibility into data flows, dependencies, and reliability.
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Governance Policies and Compliance: Define and operationalize data governance policies, standards, procedures, and controls that support regulatory obligations and internal compliance requirements.
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Platform Integrations: Manage integrations between governance platforms, cloud data environments, business intelligence tools, and metadata sources to maintain consistent information across systems.
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Data Quality Collaboration: Work with data quality teams to surface relevant data quality rules, metrics, and information within governance processes, supporting trusted and reliable data.
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Stakeholder Engagement and Asset Onboarding: Collaborate with business and technical stakeholders to identify, onboard, and govern data assets across multiple domains.
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Training and Adoption: Deliver training and guidance for data owners, data stewards, and platform users to encourage adoption of data governance tools and established processes.
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Continuous Improvement: Monitor governance platform effectiveness, identify gaps in metadata coverage and stewardship, and recommend improvements to operating models, workflows, and governance practices.
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Professional Experience: At least five years of experience in data governance, data management, or a related field.
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Hands-On Platform Expertise: At least three years of practical experience with master data management (MDM) and data governance software, including implementation, configuration, or administration.
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Collibra Experience: Experience configuring and administering Collibra Data Intelligence Cloud in a production environment, including domains, communities, assets, workflows, and governance operating models.
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Data Governance Frameworks: Strong understanding of data governance frameworks, operating models, data ownership, stewardship, and the processes needed to establish effective enterprise governance.
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Metadata and Data Cataloging: Practical knowledge of metadata management, data cataloging, business glossaries, data dictionaries, and technical and business metadata ingestion.
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Data Lineage: Experience implementing or supporting automated and manual data lineage, impact analysis, and metadata traceability across systems.
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Additional Governance Platforms: Familiarity with other data governance and cataloging solutions, including Informatica and DataHub.
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Cloud and BI Integrations: Experience integrating governance tools with cloud data platforms and analytics environments. Familiarity with Snowflake, Microsoft Azure, AWS, Power BI, Tableau, or Looker is an advantage.
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Data Quality Knowledge: Understanding of data quality tools, processes, rules, and metrics, with the ability to collaborate with data quality teams to improve data reliability.
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Regulatory Awareness: Familiarity with relevant data protection and compliance requirements, such as GDPR, CCPA, or SOX, is beneficial.
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Communication and Stakeholder Management: Strong communication, facilitation, and interpersonal skills, with the ability to align business and technical stakeholders and explain governance concepts clearly.
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Attention to Detail: A structured, detail-oriented approach to metadata management, documentation, platform configuration, and governance controls.
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Change Management and Collaboration: Ability to encourage adoption of governed data practices, support cultural change, and move cross-functional initiatives forward effectively.
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Remote Work: Fully remote, full-time opportunity based in India.
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Enterprise Data Governance: Opportunity to help build and scale data governance programs and improve how enterprise data is managed, discovered, and trusted.
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Modern Technology Exposure: Hands-on work with leading data governance and catalog platforms, metadata management solutions, cloud data environments, and integration technologies.
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Cross-Functional Collaboration: Work with business, data, analytics, and IT professionals on initiatives that connect technology capabilities with organizational objectives.
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Professional Growth: Opportunities to strengthen expertise in Collibra, data governance frameworks, metadata management, data lineage, and enterprise data strategy.
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Meaningful Business Impact: Contribute to improved data transparency, regulatory compliance, data quality, and informed decision-making.
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Inclusive Workplace: Equal employment opportunity and a commitment to providing reasonable accommodations for qualified individuals with disabilities.
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Compensation and Additional Benefits: Salary details, healthcare coverage, paid leave, bonuses, and other specific benefits were not provided in the original job description.
Requirements:
Benefits:
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