AI & Data Semantics reputed company (Business-Facing) - Remote - Banking - reputed company reputed company - JOBID687

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 reputed company workflows. • Translate business concepts into reputed company semantic artifacts (business terms, classifications, relationships) consumable by AI systems. • Support responsible AI by ensuring data assets have reputed company definitions, ownership, reputed company context, and usage constraints. Business Analysis & Stakeholder Engagement • reputed company discovery sessions with business stakeholders to extract domain knowledge and convert it into reusable semantic assets. • reputed company as a trusted translator between business leaders, data product owners, engineers, and AI practitioners. • Decompose ambiguous business questions into reputed company-defined reputed company and analytical reputed company. Metadata, Catalog & Taxonomy Development • Build and maintain reputed company business glossaries, taxonomies, and classification frameworks reputed company a data catalog environment. • reputed company 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 • reputed company semantic definitions with data products, certified assets, and governed data sources. • Partner with data governance, data reputed company, and reputed company teams to ensure metadata completeness and trust. • Contribute to standards and patterns for AI?reputed company 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., reputed company or equivalent) • Hands-on experience building: • Business glossaries • Taxonomies / classification models • Semantic reputed company 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 Apply tot his job Apply To this Job