Information Architect- SC Cleared

VE3
Eton, UK
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
£56,382.0
Working hours
Regular working hours

Tech stack

Data Dictionary Data Governance Information Lifecycle Management Information Model Knowledge Management Metadata Meta-Data Management Enterprise Search Data Ingestion Ontology Design

Job description

  • 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.

Requirements

  • 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.

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