Help shape how HSBC defines, organises and connects business terms across the Group by building high-quality glossaries, taxonomies and ontologies to create a shared semantic layer for AI use.
Responsibilities
Drive high-quality content within the HSBC Business Information Model (HBIM)
Curate and maintain coherent taxonomies and authoritative definitions
Support the Group ownership operating model
Contribute to ontology development to enable AI querying and reasoning
Apply industry standards (SKOS, PROV-O, DCAT, OWL Time, ORG, Dublin Core; FIBO/BIAN)
Requirements
Nice to have: Collibra experience
Nice to have: Python
Nice to have: APIs and automation/integration thinking
This role is responsible for owning the technical architecture and delivery priorities for Safety and Insurance data, reporting, analytics and business intelligence, aligned to functional priorities.
Responsibilities
Own the technical architecture and delivery priorities for Safety and Insurance data, reporting, analytics and business intelligence, aligned to functional priorities.
Set architecture and platform standards and sequence technical work based on business value, risk, complexity, supportability and dependencies.
Partner with domain Leads to clarify definitions, data sources, users and success criteria before build commences.
Ensure technical solutions are designed for reuse across multiple outputs rather than creating new reporting silos.
Own technical standards for semantic models, reusable measures, dashboards, access, deployment and reporting architecture.
Requirements
Nice to have: experience in business intelligence, data analytics, reporting enablement or a related technical discipline within a complex organisation
Nice to have: experience designing and operating scalable Power BI reporting environments, data models, semantic layers, reusable measures and dashboards
Nice to have: experience translating business requirements and metric definitions into sustainable technical solutions and reusable data products
Nice to have: experience establishing development standards, testing, reconciliation, documentation, lineage, release and change controls
Graph Engineer / Ontologist to design, develop, and implement enterprise knowledge graphs and semantic data solutions in a regulated financial‑services environment.
Responsibilities
Design and develop knowledge graphs, ontologies, taxonomies, and semantic information models
Translate business, operational, financial, and regulatory requirements into formal graph and ontology specifications
Define entities, relationships, attributes, constraints, classifications, and semantic rules
Develop graph data models using RDF, OWL, SKOS, SHACL, SPARQL, property‑graph models and Cypher
Build data‑mapping and ingestion processes from relational databases, APIs, documents, and other enterprise data sources
Requirements
Relevant degree or equivalent experience in computer science, information systems, data science, mathematics, engineering, or a related field
Nice to have: Experience in banking, capital markets, financial services, risk, compliance, or regulatory data
Nice to have: Knowledge of financial‑industry standards and reference models such as FIBO, ISO 20022, LEI
Nice to have: Experience with data lineage, metadata management, master data management, data catalogues, or data governance
Nice to have: Familiarity with cloud platforms, containerisation, CI/CD, and infrastructure‑as‑code
Lead the design, implementation, and oversight of data governance and data quality frameworks for clients, ensuring trusted data assets and reliable data management practices.
Compensation
competitive compensation & benefits package
Responsibilities
Define and maintain business glossaries and metadata, including Critical Data Elements (CDEs)
Advise on data access and permissions, including RBAC and governance structures
Design and oversee data quality frameworks, validation rules, and metrics
Validate SQL queries and data quality implementations
Monitor and interpret data quality results across analytics environments
Enable Nordea’s strategic Data and AI transformation by ensuring consistent business terminology, reusable information structures, semantic alignment and scalable information models across domain-owned data products.
Develop, implement and maintain canonical, conceptual and logical information models supporting the data product lifecycle.
Drive enterprise-wide information standardization across domains and promote reuse of information assets.
Act as a trusted advisor on Information Architecture topics for strategic initiatives and transformation programmes.
Support the continued development of Nordea’s Information Architecture framework including BIM, CIM, canonical modelling and taxonomy standards.
Requirements
Nice to have: domain knowledge from Business, Data councils or Warehouses
Design, develop, test, and support data pipelines, analytics, and business intelligence solutions using Microsoft Fabric, Power BI, and related Microsoft technologies.
Compensation
This is an in-person role requiring 3 days per week in our Guelph location. This position offers a minimum starting salary of $85,000.00, with potential compensation enhancements based on applicable experience and qualifications.
Responsibilities
Design, build, test, deploy and support data pipelines and transformations using Microsoft Fabric and approved cloud-native patterns.
Develop Fabric lakehouse and warehouse solutions that integrate data from D365, operational applications, external services and existing data platforms.
Create reusable, parameterized and supportable ingestion and transformation processes using SQL, notebooks, Dataflows Gen2 and pipelines.
Ensure solutions meet requirements for performance, scalability, reliability, supportability and security.
Design and maintain enterprise semantic models aligned with approved business definitions, security standards and performance expectations.
Requirements
Bachelor's degree or college diploma in Computer Science, Information Systems, Computer Programming, Data Analytics or a related discipline
Nice to have: Microsoft Certified: Fabric Analytics Engineer Associate
Nice to have: Microsoft Certified: Power BI Data Analyst Associate
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