Description

You define and govern the business meaning for data used in AI and LLM model training and inference.

Responsibilities

• Partner with AI/LLM teams to define, document, and govern business meaning for model training and inference data.
• Translate complex business concepts into structured semantic artifacts, including terms, classifications, and relationships.
• Lead discovery sessions to capture domain knowledge and convert it into reusable semantic assets.
• Design, build, and maintain enterprise business glossaries, taxonomies, and classification frameworks.
• Align semantic definitions with certified data products and governed data sources.

Required Skills

• 10+ years of experience in business analysis, data analysis, or data product roles.
• Hands-on experience with enterprise data catalog or metadata management platforms (e.g., Alation).
• Demonstrated experience building business glossaries, taxonomies, and classification frameworks.
• Experience creating semantic layers or conceptual data models.
• Strong ability to translate technical data concepts into clear, business-friendly language.
• Experience collaborating with data engineering, analytics, governance, and AI/ML teams.
• Excellent stakeholder facilitation, documentation, and communication skills.
• Experience working within the banking or financial services domain.

Key Skills

Education

Any Gradute