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Strong global brand and metro location raise competition; seniority and niche knowledge-graph skills reduce it.
Role requires deep semantic, knowledge-graph, and structured-content expertise, limiting transferability across unrelated industries.
Explicit 8+ years and specialized knowledge-graph, semantic, and schema requirements enforce strict technical filtering.
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Lead and govern data modeling standards and scalable structured data processes supporting high-volume AI-enriched workflows.
Design and evolve semantic data models and knowledge graphs aligned with business and AI operational requirements.
Drive technical specification, workflow optimization, and governance for structured content processing across data platforms.
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field.
8–12+ years of experience in data modeling, structured data processing, semantic modeling, or large-scale data operations environments.
Expertise in SQL, XML schema design (XSD), JSON schema, Knowledge Graph and semantic data structures, and Linked Data / RDF principles.
Experience operationalizing AI or LLM-driven solutions in production data environments preferred.
Senior technical leader with deep experience in data and semantic modeling for enterprise-level or research data platforms.
Strong strategic and governance focus in building reusable, interoperable data frameworks across cross-functional teams.
Practical understanding and experience integrating GenAI, LLMs, and AI-enabled workflows within structured data operations.