> Markdown version of [/jobs/ext/4159601-information-architect-sc-cleared](https://www.wearedevelopers.com/jobs/ext/4159601-information-architect-sc-cleared). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Information Architect- SC Cleared

- **Company:** VE3
- **Location:** Eton, UK
- **Experience:** Expert
- **Salary:** £56,382.0
- **Contract:** Permanent contract
- **Skills:** Data Dictionary, Data Governance, Information Lifecycle Management, Information Model, Knowledge Management, Metadata, Meta-Data Management, Enterprise Search, Data Ingestion, Ontology Design
- **Published:** October 31, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5947293546

## About the Role

* 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.

## 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.