Position Title: Data Architect

Location: Columbus, OH(Day 1onsite)

Duration: 6 Months (Contract to hire)

Looking for Information data architect

someone who have done major data analysis - not small scope

Job Description:

• Information Architect
• Expert in data architecture disciplines
• Expert in architecture and design across all systems of the LOB.

Role Summary:

• The Information Architect is responsible for designing and governing the structure, semantics, and organization of information across the enterprise.
• This includes developing taxonomies, ontologies, metadata schemas, and navigation structures to ensure information is findable, usable, and consistent.
• The Information Architect works closely with data architects, governance teams, and business stakeholders to optimize information discoverability and clarity.

Key Responsibilities:

• Develop and maintain enterprise taxonomies, ontologies, controlled vocabularies, and metadata schemas.
• Define and document canonical information models, naming conventions, and master data definitions.
• Design information navigation structures for portals, catalogs, and user interfaces.
• Partner with data governance to maintain data dictionaries, lineage, and stewardship policies.
• Collaborate with data architects and engineers to ensure information structures align with data platforms and integration patterns.
• Improve information discoverability, usability, and consistency across systems.
• Support data catalog, glossary, and metadata management initiatives.
• Provide guidance on information architecture best practices and standards.

Required Skills and Qualifications:

• Bachelor’s or Master’s degree in Information Science, Library Science, Computer Science, or related field.
• Experience in information architecture, taxonomy/ontology design, metadata management, and knowledge organization.
• Familiarity with information cataloging tools (e.g., Collibra, Alation), taxonomy/ontology editors, and knowledge graph platforms.
• Strong understanding of data governance, stewardship, and master data management principles.
• Excellent analytical, communication, and stakeholder engagement skills.

Success Metrics:

• Consistent, clear, and discoverable information structures.
• Improved user experience and information findability.
• Effective collaboration with data and governance teams.

Adoption of information architecture standards and best practices