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# Data Modeller

- **Company:** HSBC Group
- **Location:** Sheffield, United Kingdom
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Interoperability, Python (Programming Language), Meta-Data Management, Collibra
- **Published:** November 12, 2026
- **Apply:** https://dejobs.org/x/x/1E85492E59F340858955AD28FF6290F6/job/

## About the Role

* Demonstrable experience in business glossary curation, taxonomy design, and/or ontology modelling, with a clear understanding of how these enable AI and data interoperability
 * Strong data analysis capability and attention to detail, able to deliver in a fast-paced environment
 * Confidence working in an operating model where the business owns definitions, and you partner to ensure quality, consistency, and adoption
 * Practical experience with data and/or semantic modelling and metadata practices; Collibra experience is useful but not essential (tooling matters less than the modelling fundamentals)
 * Exposure to APIs and automation/integration thinking; some hands-on Python experience (AI-assisted development is welcomed)
 * Strong communication and stakeholder management skills, with the ability to explain semantic modelling concepts clearly
 * A genuine interest in cutting-edge tooling and AI for Data & Tech, leveraging HSBC's owned data to improve decision-making speed and quality
 * Financial Services experience is beneficial

## Description

* Curate and maintain coherent taxonomies and authoritative definitions, ensuring business terms are clear, consistent, unambiguous, and organised into navigable hierarchies and relationships
 * Support the Group ownership operating model by enabling a framework where t he business owns the terms, while you provide the modelling expertise, standards, and governance to keep content high quality and reusable
 * "Join the dots" across teams/domains to help build a shared semantic layer that supports cross-boundary understanding and consistency
 * Contribute to ontology development (the layer between taxonomies) to enable AI to query and reason across multiple teams, products and datasets - turning terminology into a connected, machine-interpretable knowledge layer
 * Apply industry standards and components to strengthen semantic consistency and interoperability (e.g., SKOS, PROV-O, DCAT, OWL Time, ORG, Dublin Core; awareness of FIBO/BIAN)
 * Embrace AI-enabled ways of working to accelerate modelling, metadata management and quality - using modern tooling to help HSBC make better, faster decisions from our data
 * Engage stakeholders confidently, translating semantic concepts for technical and non-technical audiences, and contributing to forums and working groups