layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Service Development Manager – AI Data Structuring & Readiness at RELX | LAYIQ

Data Modeling & Structured Content Leadership
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.
Define normalization standards, transformation logic, and metadata structures for structured content ecosystems.
Drive adoption of reusable, extensible, and future-ready modeling frameworks.
Knowledge Graph & Semantic Framework Strategy
Lead the design and evolution of semantic data models supporting Knowledge Graph initiatives.
Define entity-relationship frameworks, ontology-aligned structures, and semantic linking strategies.
Apply Linked Data and RDF principles to enhance contextual data relationships and interoperability.
Provide technical leadership in integrating Knowledge Graph models within operational data workflows.
Guide semantic enrichment strategies to improve discoverability, entity resolution, and downstream AI applications.
Technical Specification & Design Governance
Lead comprehensive technical specification writing for complex data processing, enrichment, transformation, and semantic modeling initiatives.
Translate business and product requirements into structured data definitions, schema designs (XSD, JSON Schema), mapping rules, and validation frameworks.
Establish traceability between business requirements, technical specifications, and operational implementation.
Define documentation standards and best practices for data modeling and workflow design.
Content Processing & Workflow Excellence
Architect and optimize end-to-end data and content processing workflows, including ingestion, enrichment, semantic tagging, validation, transformation, and structured output delivery.
Define validation checkpoints, quality control mechanisms, and risk mitigation controls within operational pipelines.
Improve operational throughput, automation maturity, and scalability.
Establish structured testing strategies (unit, integration, regression) for complex transformations.
Standardize workflow frameworks to enhance operational resilience and performance consistency.
Strategic Collaboration & Advisory Role
Partner with Product, Engineering, and Operations leadership to align structured data and semantic frameworks with long-term strategic objectives.
Conduct impact assessments for new data models, workflow enhancements, enrichment initiatives, and system integrations.
Act as the senior technical advisor for complex data, Knowledge Graph, and AI enablement initiatives.
Influence roadmap decisions related to structured data, semantic intelligence, and automation strategy.

Core Data & Semantic Expertise
Advanced SQL and relational data design
XML schema design (XSD)
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
Strong understanding of structured content processing techniques
Workflow & Operational Systems
End-to-end workflow architecture and process optimization
Data validation, transformation, and quality governance frameworks
API integration and interoperability patterns
Data modeling and documentation tools
AI & Emerging Technologies
Strong understanding of GenAI and LLM technologies
Experience integrating LLM-driven capabilities within structured operational workflows
Familiarity with Retrieval-Augmented Generation (RAG) concepts
Awareness of vector databases, embeddings, and semantic retrieval frameworks
Core Competencies
Strategic systems-thinking and advanced problem-solving capability
Technical authority in structured data and semantic frameworks
Exceptional technical documentation and specification leadership
Strong cross-functional influencing and advisory skills
Governance-driven mindset with operational excellence focus
Innovation-oriented with practical AI application perspective
Work in a way that works for you: -
We promote a healthy work/life balance across the organization. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, family leave and tuition reimbursement, we will help you meet your immediate responsibilities and long-term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working for you: -
At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
Group Health Insurance Policy (covering self and family)
Group Life insurance/accident policy
Generous long-service awards
New Baby gift
Subsidized food provided (applies to India- Chennai)
Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, Gazetted Public Holiday and Maternity/Paternity Leave
Free Transport provided to and from the office (applies to India-Chennai)

Service Development Manager – AI Data Structuring & Readiness

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