HA

Data Governance Specialist

Hiring from
India
Work type
Remote
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Role: Data Governance Specialist

Location: Coimbatore/Remote

Employment Type: Full-time


Role Overview

We are looking for an experienced Senior Data Governance with strong expertise in metadata management, enterprise data governance, semantic modeling and AI-enabled data architecture.

The ideal candidate should have hands-on experience with OpenMetadata, Collate or similar enterprise data governance platforms and the ability to design and implement scalable metadata and governance solutions.


The role involves building an AI-ready semantic metadata foundation that enables enterprise AI applications and agents through structured metadata, knowledge graphs, data contracts and governance frameworks.


Key Responsibilities

Metadata Management & Data Governance

  • Design and implement enterprise metadata management and data governance solutions.
  • Develop and maintain business glossaries, taxonomies and KPI/metric libraries.
  • Establish metadata standards, governance policies and stewardship processes.
  • Design and implement governance workflows and operating models.

OpenMetadata / Collate Platform Implementation

  • Implement and manage metadata governance platforms such as OpenMetadata and Collate.
  • Configure metadata ingestion, management and governance workflows.
  • Integrate governance platforms with enterprise data ecosystems.
  • Drive the evolution of metadata platforms to support AI-enabled governance.

Semantic Modeling & Knowledge Graphs

  • Design and implement ontologies, semantic models and semantic views.
  • Develop semantic metadata graphs and knowledge graph concepts.
  • Establish metadata-driven context layers for AI applications and agents.
  • Ensure consistent business definitions and relationships across enterprise data assets.

Data Products & Data Contracts

  • Design and implement enterprise data products.
  • Define data contracts at source, publishing and data product levels.
  • Establish contract-based data quality validation and monitoring.
  • Ensure data products meet defined quality and governance standards.

Data Quality & Governance Frameworks

  • Design and implement data quality frameworks and validation processes.
  • Establish governance controls, policies and guardrails.
  • Implement monitoring and data stewardship processes.
  • Ensure data governance practices are sustainable and scalable.

AI Enablement & Enterprise Architecture

  • Build AI-ready metadata and governance architectures.
  • Enable metadata-driven context for enterprise AI applications.
  • Define governance guardrails to support responsible AI adoption.
  • Align metadata management and governance capabilities with enterprise AI initiatives.

Solution Architecture & Technical Leadership

  • Drive end-to-end solution architecture and implementation strategies.
  • Conduct architecture, solution and governance reviews.
  • Guide implementation teams on technical best practices.
  • Define standards and scalable governance processes across enterprise platforms.


Required Technical Skills

  • Strong experience with OpenMetadata, Collate or similar data governance platforms such as Collibra.
  • Expertise in metadata management and enterprise data governance.
  • Experience in business glossary, taxonomy and KPI/metric library design.
  • Knowledge of ontologies, semantic modeling and knowledge graphs.
  • Understanding of semantic metadata graphs and AI context-layer architecture.
  • Experience in data product design and data contract implementation.
  • Knowledge of data quality frameworks and governance workflows.
  • Strong data engineering fundamentals and enterprise data integration concepts.
  • Understanding of AI-ready data architecture and AI governance.


Required Functional Skills

  • Strong enterprise solution architecture and solutioning capabilities.
  • Ability to design governance operating models and workflows.
  • Experience defining governance policies, standards and technical guardrails.
  • Strong stakeholder management and communication skills.
  • Ability to lead technical discussions and guide implementation teams.
  • Strong analytical and problem-solving capabilities.


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