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Data Governance & Metadata Specialist - W2 (Local Only)

DCM Infotech LimitedDallas, TX🇺🇸United StatesPosted 2 Sept 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to enhance enterprise metadata and business glossary coverage, leveraging AI and human expertise for impactful results. You'll thrive here if you have a strong understanding of data governance and metadata management, enjoy translating technical concepts into business context, and possess excellent stakeholder skills. Apply today to grow your career in this dynamic environment!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Dallas, TX, United States
Posted
1 week ago
SQLGenerative AILLMPythonREST

Job Description

Job Title: Data Governance & Metadata Specialist 
Location: Dallas TX
Duration: 6+ months
Type: Contract W2
 
 
JOB DISCRIPTION:-
 

Role Summary : Responsible for improving enterprise metadata and business-glossary coverage by combining technical metadata, governance context and AI-assisted metadata generation with human review and certification.

Required Skills

  • Strong knowledge of Data Governance, Metadata Management and Business Glossary practices.
  • Hands-on experience with one or more enterprise metadata/catalog tools such as Alation
  • Working knowledge of Data Quality tools and concepts.
  • Strong SQL skills.
  • Working knowledge of Python.
  • Experience with REST APIs and metadata integration.
  • Strong understanding of technical and business metadata.
  • Ability to interpret technical schemas and translate them into business context.
  • Strong stakeholder-management and facilitation skills.

Nice to have skills

  • CDMP certification preferred.
  • Experience with Generative AI / LLM-based metadata generation.
  • Knowledge of data lineage.
  • Experience with semantic matching and metadata-quality analysis.
  • Experience in highly governed enterprise environments.

Key Responsibilities

  • Extract and consolidate technical metadata from enterprise platforms.
  • Assess existing metadata and glossary coverage.
  • Identify data domains, owners and stewards.
  • Build contextual metadata packages using technical metadata, lineage and DQ information.
  • Generate and refine draft business definitions.
  • Identify duplicate, synonymous or overlapping business terms.
  • Apply confidence scoring to AI-generated metadata where applicable.
  • Route ambiguous definitions for SME review.
  • Coordinate business and steward validation.
  • Map glossary terms to technical assets.
  • Link governed data elements to business terms and physical assets.
  • Publish approved metadata into enterprise catalog/governance tools.
  • Maintain metadata gaps and stewardship queues.
  • Define metadata versioning and change-control processes.
  • Support automation using APIs and scripting.
  • Develop metadata quality and coverage metrics.

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