Data Modeller

As Data Modeller at HSBC, you will shape how business terms are defined and connected across the Group, building a shared semantic layer for AI-enabled insights. You will curate glossaries, taxonomies and ontologies to ensure terms are clear, consistent and navigable across domains. You’ll enable cross‑team understanding by connecting artefacts through a formal governance model and modern tooling. This role offers the chance to influence data interoperability at scale within a leading global bank and contribute to faster, smarter decision-making.

• fantastic benefits packages

• Drive content quality within the HSBC Business Information Model (HBIM) focusing on the Group Business Glossary, Taxonomy of Business Terms, and Group Data Categories
• Curate coherent taxonomies and authoritative definitions, maintaining clear, consistent hierarchies and relationships
• Support the ownership operating model by providing modelling standards, governance, and reuse-friendly content
• Bridge teams to build a shared semantic layer that enables cross-boundary understanding
• Contribute to ontology development to enable AI to query and reason across multiple teams and datasets
• Apply industry standards (e.g., SKOS, PROV-O, DCAT, OWL Time, Dublin Core) and maintain awareness of FIBO/BIAN
• Leverage AI-enabled tooling to accelerate modelling and metadata management and improve decision-making
• Engage stakeholders and translate semantic concepts for both technical and non-technical audiences

• Demonstrable experience in glossary curation, taxonomy design, and/or ontology modelling with AI and data interoperability impact
• Strong data analysis skills and attention to detail in fast-paced environments
• Experience in operating models where the business owns definitions, ensuring quality and adoption
• Practical modelling and metadata practices; Collibra experience is useful but not essential
• Exposure to APIs and automation thinking; some hands-on Python experience
• Strong communication and stakeholder management skills for cross-functional collaboration
• Genuine interest in cutting-edge tooling and AI for Data & Tech; experience in financial services is beneficial

• strong communication
• stakeholder management
• business partnering
• taxonomy design
• ontology modelling
• HBIM content management