Define and govern logical data modeling standards across Data Operations.
Design and maintain scalable data models supporting high-volume data processing and enrichment workflows.
Establish canonical data principles to ensure consistency, interoperability, and governance alignment.
Drive adoption of reusable, extensible, and future-ready modeling frameworks.
Lead the design and evolution of semantic data models supporting Knowledge Graph initiatives.
Define documentation standards and best practices for data modeling and workflow design.
Architect and optimize end-to-end data and content processing workflows.
Partner with Product, Engineering, and Operations leadership to align structured data and semantic frameworks with long-term strategic objectives.

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.
Strong expertise in content processing, enrichment workflows, metadata management, or structured data ecosystems.
Demonstrated experience leading Knowledge Graph and semantic data modeling initiatives.
Proven excellence in technical specification writing and workflow design governance.
Experience operationalizing AI or LLM-driven solutions in production data environments preferred.

Service Development Manager – AI Data Structuring, Readiness

Key skills