Service Development Manager – AI Data Structuring & Readiness

Job title: Service Development Manager – AI Data Structuring & Readiness

About the Role Data Modeling is a senior technical leader within the Data Operations function, responsible for defining and advancing structured data models, semantic frameworks, and scalable AI-enabled processing workflows. This role sets technical standards for data modeling, Knowledge Graph development, and LLM operationalization across Data Operations. It ensures that business, product, and operational requirements are translated into governed, production-ready data structures and interoperable pipelines.

What You'll Do

• Define and govern logical data modeling standards across Data Operations.
• Design and maintain scalable data models for high-volume processing.
• Establish canonical data principles for consistency, interoperability, and governance.
• Define normalization standards, transformation logic, and metadata structures.
• Drive adoption of reusable, future-ready modeling frameworks.
• Lead semantic data models for Knowledge Graph initiatives.
• Define entity-relationship frameworks and ontology-aligned structures.
• Apply Linked Data and RDF principles to enhance data relationships.
• Integrate Knowledge Graph models within operational data workflows.
• Guide semantic enrichment strategies to improve discoverability and AI applicability.
• Lead technical specification writing for data processing, enrichment, and semantic modeling.
• Translate requirements into structured data definitions, schema designs, mappings, and validation frameworks.
• Establish traceability from requirements to implementation.
• Define documentation standards for data modeling and workflows.
• Architect end-to-end data and content processing workflows (ingestion, tagging, validation, output).
• Define quality checks and risk controls; improve automation and throughput.
• Establish testing strategies for transformations.
• Partner with Product, Engineering, and Operations to align with strategy.
• Act as senior technical advisor for data, Knowledge Graph, and AI enablement.
• Influence roadmap decisions on structured data and automation.

What We're Looking For

• 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.
• Advanced SQL and relational data design.
• XML schema design.
• JSON schema development and transformation logic.
• XML/HTML5 structured content modeling.
• Linked Data / RDF principles.
• Knowledge Graph concepts, ontology modeling, and semantic data structures.
• Data normalization, taxonomy design, and metadata governance.
• End-to-end workflow architecture and process optimization.
• API integration and interoperability patterns.
• Data modeling and documentation tools.