Job Description
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
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