The role involves designing, building, and governing the enterprise context layer (AI, Ontology & Knowledge Graphs) to power next-generation AI, analytics, and decision intelligence solutions. It sits at the intersection of Data Engineering, Ontology Design, Knowledge Graphs, Semantic Technologies, and Agentic AI.
Responsibilities
Design semantic models, ontologies, and taxonomies
Define business entities, concepts, relationships, and hierarchies
Establish enterprise-wide semantic standards and reusable patterns
Create contextual representations of business processes and decision flows
Design and implement knowledge graphs
Requirements
Bachelor's degree in business, information systems or related discipline
Nice to have: Leadership and people management skills
Nice to have: Written and verbal communication skills
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
Lead the development of software platforms, data services and workflow solutions for the Australian Plant Phenomics Network, enabling researchers to manage and share high‑quality plant phenomics data.
Responsible for definition, governance and stewardship of Argus semantic assets, including ontologies, taxonomies, thesauri, glossaries, controlled vocabularies and semantic reference data.
Compensation
Competitive salary and company bonus scheme
Responsibilities
Define semantic requirements and evaluate candidate concepts for governance and modelling
Design and maintain ontologies, taxonomies, thesauri, glossaries and controlled vocabularies
Operate semantic governance processes and approval workflows
Manage the lifecycle of semantic assets from proposal through retirement
Conduct quality reviews, impact assessments and change management activities
APPN Senior Software EngineerAdelaide University · Adelaide, Australia+5 more
Data ArchitectOrion Innovation · Edison, US+1 more
Semantic AnalystArgus Media · London