Information Architect - Data Governance COE
About the position
The Information Architect, Data Governance COE plays a critical role in designing and maintaining the enterprise information architecture essential for cataloging Huntington’s data for self-service understanding. This role defines and enforces standards for data modeling, taxonomy, and semantic structures to ensure consistency, interoperability, and clarity across the organization. The Information Architect partners closely with business and technology teams to develop and maintain the enterprise data domain model and ontologies that support governance frameworks to enable trusted data usage. Success in this role requires the ability to translate complex theoretical concepts into scalable, governed information structures that drive adoption of the data catalog and deliver measurable value to colleagues.
Responsibilities
• Lead the development and maintenance of the data domain model, taxonomy, and ontologies to ensure shared understanding, semantic consistency, and discoverability of data assets.
• Operationalize data model and taxonomy through the Enterprise Data Catalog (Alation).
• Define and enforce standards for data modeling, taxonomy, nomenclature, and semantic structures to ensure consistency and interoperability across business domains.
• Provide authoritative guidance on semantic conflicts—resolve definition discrepancies, harmonize terms, and mediate cross-domain dependencies.
• Contribute to the enterprise data product framework by defining domain boundaries and shared dimensions for cross-domain interoperability.
• Confirm and document prioritized metadata elements for key business processes and ensure alignment with governance standards.
• Identify simplification opportunities—reduce redundancy, converge overlapping datasets, and promote canonical sources to improve trust and efficiency.
• Serve as a thought partner to the Data Governance Community of Excellence—provide insights from modeling and catalog adoption to shape governance strategy and roadmaps.
Requirements
• Bachelor’s degree in business Intelligence, Data Science, Computer Science, Engineering, or equivalent experience
• 10+ years of experience working with data, metadata and reference data frameworks, and experience in metadata and/or data quality monitoring
• 7+ years of experience leading work efforts and managing toward deadlines, and developing high-performing teams
• 5+ years of related experience in strategy, management consulting, or similar skillset
Nice-to-haves
• Experience leading the development of enterprise business glossaries, domain models, and ontologies to enable semantic consistency and shared understanding.
• Demonstrated experience with data management concepts including data governance, data quality, master data management, data lineage, and metadata management.
• Proven ability to establish and operationalize metadata governance functions, including policy, standards, roles, and controls.
• Demonstrated verbal and written communication skills, with strong data and governance storytelling that influences adoption.
• Hands-on experience implementing and scaling an Enterprise Data Catalog or metadata repository (Alation or equivalent), including curation workflows, stewardship assignments, and adoption strategies.
• Strong business acumen in relating data to business process drivers and performance management, with a value delivery mindset.
• Collaborative, team-focused delivery experience that drives outcomes across enterprise and data organizations.
• Strategic thinker with the ability to translate enterprise objectives into actionable plans and measurable outcomes.
• Excellent knowledge of data and metadata management principles, business analysis, and process engineering.
• Crisp business execution and project management rigor, with a strong customer service philosophy.
Apply Now
Apply Now
The Information Architect, Data Governance COE plays a critical role in designing and maintaining the enterprise information architecture essential for cataloging Huntington’s data for self-service understanding. This role defines and enforces standards for data modeling, taxonomy, and semantic structures to ensure consistency, interoperability, and clarity across the organization. The Information Architect partners closely with business and technology teams to develop and maintain the enterprise data domain model and ontologies that support governance frameworks to enable trusted data usage. Success in this role requires the ability to translate complex theoretical concepts into scalable, governed information structures that drive adoption of the data catalog and deliver measurable value to colleagues.
Responsibilities
• Lead the development and maintenance of the data domain model, taxonomy, and ontologies to ensure shared understanding, semantic consistency, and discoverability of data assets.
• Operationalize data model and taxonomy through the Enterprise Data Catalog (Alation).
• Define and enforce standards for data modeling, taxonomy, nomenclature, and semantic structures to ensure consistency and interoperability across business domains.
• Provide authoritative guidance on semantic conflicts—resolve definition discrepancies, harmonize terms, and mediate cross-domain dependencies.
• Contribute to the enterprise data product framework by defining domain boundaries and shared dimensions for cross-domain interoperability.
• Confirm and document prioritized metadata elements for key business processes and ensure alignment with governance standards.
• Identify simplification opportunities—reduce redundancy, converge overlapping datasets, and promote canonical sources to improve trust and efficiency.
• Serve as a thought partner to the Data Governance Community of Excellence—provide insights from modeling and catalog adoption to shape governance strategy and roadmaps.
Requirements
• Bachelor’s degree in business Intelligence, Data Science, Computer Science, Engineering, or equivalent experience
• 10+ years of experience working with data, metadata and reference data frameworks, and experience in metadata and/or data quality monitoring
• 7+ years of experience leading work efforts and managing toward deadlines, and developing high-performing teams
• 5+ years of related experience in strategy, management consulting, or similar skillset
Nice-to-haves
• Experience leading the development of enterprise business glossaries, domain models, and ontologies to enable semantic consistency and shared understanding.
• Demonstrated experience with data management concepts including data governance, data quality, master data management, data lineage, and metadata management.
• Proven ability to establish and operationalize metadata governance functions, including policy, standards, roles, and controls.
• Demonstrated verbal and written communication skills, with strong data and governance storytelling that influences adoption.
• Hands-on experience implementing and scaling an Enterprise Data Catalog or metadata repository (Alation or equivalent), including curation workflows, stewardship assignments, and adoption strategies.
• Strong business acumen in relating data to business process drivers and performance management, with a value delivery mindset.
• Collaborative, team-focused delivery experience that drives outcomes across enterprise and data organizations.
• Strategic thinker with the ability to translate enterprise objectives into actionable plans and measurable outcomes.
• Excellent knowledge of data and metadata management principles, business analysis, and process engineering.
• Crisp business execution and project management rigor, with a strong customer service philosophy.
Apply Now
Apply Now