Strategic Enterprise Information Architecture & Ontology Leadership
Share the vision and direction for enterprise ontologies, business glossaries, and semantic models to unify understanding of core business concepts across all business units and platforms
Collaborate on the development and evolution of canonical data models, conceptual information models, and domain models at scale, ensuring strategic alignment and reusability
Drive alignment of ontologies and information models with enterprise strategy, regulatory requirements, and operational imperatives
Work closely with Enterprise Architecture and Data Platform delivery teams to enable and scale usability across the enterprise
Metadata Management & Data Governance Enablement
Serve as an authority for metadata and business glossary standards, collaborating with Data Stewards, and Data Owners to ensure standardized business terms, definitions, relationships, and lineage
Oversee the enhancement of metadata quality through governance processes, stewardship workflows, and continuous improvement initiatives
Inform on the adoption, integration, and optimization of metadata management tools to ensure consistency with enterprise information architecture standards
Enterprise Collaboration & Influence
Partner with senior solution architects, engineering leaders, enterprise architecture leaders, AI delivery leaders, analytics executives, and business stakeholders to embed business information architecture into strategic data products, integration patterns, and analytics platforms
Champion the definition and adoption of semantic layers, shared business definitions, and reusable information patterns across cross-functional teams
Help translate complex business strategies and concepts into structured, enterprise-scale information models, providing thought leadership and mentorship
Standards, Policies, and Framework Stewardship
Review and govern enterprise standards for ontology modeling, naming conventions, metadata taxonomy, and semantic alignment
Collaborate on the evolution of enterprise data governance frameworks, stewardship models, and domain governance structures in partnership with senior stakeholders
Ensure adherence to industry best practices in information architecture, FAIR data principles, and semantic data governance, and proactively monitor emerging trends and technologies
Information Quality, Risk, and Compliance Leadership
Identify, assess, and resolve complex inconsistencies in data definitions, business rules, and semantic structures, driving enterprise-wide remediation and best practices
Drive support for regulatory, risk, and audit requirements by ensuring data meaning, provenance, and lineage are traceable, documented, and defensible
Provide exemplary guidance on data meaning, business context, and strategic data initiatives at the enterprise level.
You will report to a Director, Enterprise Data Governance.
Requirements
Bachelor's degree in Information Systems, Data Management, Business, Computer Science, or a related field
3-5 years of progressive experience in information architecture, data governance, semantic modeling, or related disciplines, with significant experience in deployment and enforcement
Demonstrated understanding of enterprise metadata management and business glossary tools (e.g., Collibra, Alation, Informatica, Atlan)
Experience with documenting, designing, and governing ontologies, taxonomies, conceptual models, and semantic frameworks at enterprise scale
Advanced understanding of data governance principles, data lifecycle management, data quality, and stewardship
Ability to understand complex business concepts and connect the dots to clear, structured enterprise information models
Demonstrated experience with data governance
Demonstrated ability to help lead large scale, highly visible programs with responsibility for cross-functional project teams