Senior Data Modeler

Das ist der Job

Design and maintain conceptual, logical and physical data models across enterprise, industry, and solution domains.

Darum lohnt es sich

International Air Transport Association (IATA) Apply by: 02 Aug 2026 Monitoring, Evaluation, Policy, Research, Analysis Senior Data Architect & Data Modeler Geneva, Switzerland Employment Type: Permanent Travel Required: 10-15 About the team you are joining Part of the Information and Data (I&D) Division, the Senior Data Architect & Data Modeler function is responsible for defining, maintaining, and evolving IATA’s data assets, standards, and practices across the organisation and with external industry stakeholders.

The team ensures consistency and interoperability between enterprise data models, industry standards, and implemented data solutions, supporting IATA’s ambition to make data accessible, trusted, and actionable across all business domains.

Apply data modelling, governance and quality standards across all solutions in collaboration with architects, engineers and business teams.

About the role Reporting to the Senior Manager, Data Architecture and Modelling, the Senior Data Architect & Data Modeler is responsible for designing and maintaining data models and end‑to‑end data solutions across enterprise, industry, and system landscapes.

The role covers enterprise data modelling, industry‑aligned data structures, and contribution to data solution design, ensuring that data is consistently defined, structured, and implemented across platforms.

The role acts as a key bridge between business requirements, data architecture, and technical implementation, ensuring alignment between conceptual models and physical solutions, including data pipelines, integration layers, and AI‑driven interaction models.

What your day would be like Design and evolve data models and data solutions supporting operational systems, analytics platforms, data integration, and AI‑enabled use cases.

Collaborate with business stakeholders, architects, engineers, and external partners to ensure alignment between enterprise standards, industry models, and implemented solutions. Translate business and industry requirements into scalable, standardised, and interoperable data structures.

Define and support data pipelines, integration patterns and data flows (ETL/ELT). Ensure alignment between enterprise models, industry standards, and system implementations. Design and support AI‑ready data structures, semantic layers and data products for analytics and AI use cases.

Define data structures and contracts supporting APIs, AI agents and MCP‑based data interaction models. We would love to hear from you if 7+ years of experience in data modelling across enterprise and/or industry data domains. Strong expertise in conceptual, logical and physical data modelling.

Proven ability to translate business and industry requirements into standardised, scalable data solutions. Experience with data integration, pipelines and ETL/ELT processes. Good understanding of data architecture and cloud data platforms (e.g. AWS, Snowflake). Experience with APIs, data contracts and AI/semantic layer concepts (e.g.

MCP, agent‑based interactions, or similar). Strong stakeholder management and communication skills. Experience designing AI semantic layers, knowledge models or data products for AI consumption. Exposure to MCP or comparable frameworks for AI orchestration and structured data interaction.

Knowledge of data governance, metadata and data quality practices. Experience with modelling tools (e.g. Sparx EA or similar). #J-18808-Ljbffr