Information Architect (SC Cleared)

VE3 is recruiting an Information Architect to define how complex organisational information is described, related, governed and found. You will develop a consistent metadata framework and information architecture that supports effective discovery, reliable onboarding, clear ownership and long-term stewardship across multiple information sources., * Information modelling. Develop conceptual and logical information models, entity relationships and a maintainable metadata schema.

• Taxonomy and standards. Define terminology, controlled vocabularies, mandatory fields, identifiers and classification conventions.

• Discovery and reuse. Structure information about activities, assets, datasets, tools, ownership and expertise for search and navigation.

• Governance. Define stewardship, ownership, provenance, information lifecycle, update responsibilities and reuse conditions.

• Data onboarding. Work with data engineers to specify field mappings, validation rules, completeness measures and exception handling.

• Stakeholder alignment. Facilitate discovery workshops, reconcile competing definitions and secure approval for the information model.

• Business-as-usual. Maintain a data dictionary, model/version controls, user guidance and an achievable ongoing review process.

Essential experience and skills

• Proven experience in information architecture, metadata management, taxonomy design or enterprise information modelling.

• Ability to translate diverse stakeholder needs into clear entities, relationships, definitions and consistent data standards.

• Understanding of information governance, stewardship, provenance, security classification and access implications.

• Experience documenting conceptual/logical models, data dictionaries, metadata specifications and governance rules.

• Strong workshop facilitation, requirements analysis, stakeholder negotiation and written communication skills.

• Ability to work with data and technical teams to turn a framework into usable validation and discovery capabilities.

Desirable experience:

• Information catalogues, knowledge management systems, enterprise search and content discoverability.

• Ontology, semantic modelling or controlled-vocabulary management approaches.

• Experience with information assurance, data-quality measures and operational stewardship models.

Expected contribution: An agreed, version-controlled metadata framework; documented entities, relationships and ownership rules; onboarding validation criteria; and practical stewardship guidance.