AI & Data Semantics Lead (Business-Facing) - Remote - Banking - Direct Client

Remote • Posted 1 day ago • Updated 1 day ago

Contract W2

Remote

Fitment

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Skills

LLM
Data Catlog
Banking

Summary

Key Responsibilities

LLM & AI Enablement

Partner with LLM and AI model teams to define, document, and govern business meaning for data assets used in training, inference, and agentic workflows.
Translate business concepts into structured semantic artifacts (business terms, classifications, relationships) consumable by AI systems.
Support responsible AI by ensuring data assets have clear definitions, ownership, lineage context, and usage constraints.

Business Analysis & Stakeholder Engagement

Lead discovery sessions with business stakeholders to extract domain knowledge and convert it into reusable semantic assets.
Act as a trusted translator between business leaders, data product owners, engineers, and AI practitioners.
Decompose ambiguous business questions into well-defined data concepts and analytical intent.

Metadata, Catalog & Taxonomy Development

Build and maintain enterprise business glossaries, taxonomies, and classification frameworks within a data catalog environment.
Curate and enrich technical assets with business context (descriptions, relationships, use cases, examples).
Ensure semantic consistency across domains, data products, and AI use cases.

Data Product & Platform Alignment

Align semantic definitions with data products, certified assets, and governed data sources.
Partner with data governance, data quality, and lineage teams to ensure metadata completeness and trust.
Contribute to standards and patterns for AI?ready metadata and semantic modeling.

Required Qualifications

7+ years of experience in business analysis, data analysis, or data product roles
Demonstrated experience working in a data catalog or metadata management platform (e.g., Alation or equivalent)
Hands-on experience building:
- Business glossaries
- Taxonomies / classification models
- Semantic layers or conceptual data models
Strong ability to translate technical data assets into business language
Proven experience partnering with technical teams (data engineering, analytics, AI/ML)
Excellent facilitation, documentation, and stakeholder communication skills

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91121298
Position Id: 687
Posted 1 day ago

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AI & Data Semantics Lead (Business-Facing) - Remote - Banking - Direct Client

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Job Details

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