Requirements
Key responsibilities:
• 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.
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