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AI & Data Semantics Lead - Remote

Posted 2 days ago
Data Analysis
Contract
Worldwide

Overview

The AI & Data Semantics Lead will accelerate enterprise AI initiatives by defining the business meaning behind data used across LLMs, AI models, analytics, and agentic workflows, ensuring that data is understood and available.

In Short

  • Contract position via Greenfield Talent on W2.
  • Fully remote role.
  • Define and govern business meaning for data assets used in AI.
  • Translate complex business concepts into semantic artifacts for AI systems.
  • Lead discovery sessions with business partners.
  • Build and maintain business glossaries and taxonomies.
  • Align semantic definitions with governed data sources.
  • Contribute to standards for AI-ready metadata.
  • 7+ years in business analysis or related roles required.
  • Excellent communication and facilitation skills needed.

Requirements

  • 7+ years in business analysis, data analysis, or related roles.
  • Experience with enterprise data catalog or metadata platforms.
  • Experience building business glossaries and taxonomies.
  • Strong ability to translate technical data assets into business language.
  • Proven partnership with technical teams (data engineering, analytics, AI/ML).
  • Excellent facilitation, documentation, and stakeholder communication skills.

Benefits

  • Work in a fully remote environment.
  • Engage in impactful AI initiatives.
  • Collaborate with diverse teams across the organization.
  • Opportunity to shape enterprise data strategy.

G.T

Greenfield Talent

Greenfield Talent is a forward-thinking recruitment agency specializing in connecting top-tier talent with innovative companies in the technology sector. With a focus on remote work opportunities, Greenfield Talent facilitates contract engagements that empower professionals to contribute to cutting-edge projects, particularly in the fields of artificial intelligence and data analytics. The company emphasizes the importance of aligning business needs with technical expertise, ensuring that clients can leverage data effectively to drive enterprise AI initiatives.

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