Lead, Business Information Architect

Humana•Washington, DC

1d•Hybrid

About The Position

The Lead Business Information Architect is a key driver responsible for developing, evangelizing, and maintaining the enterprise's information landscape. This role ensures that business concepts, data definitions, and metadata are consistently aligned to technical models, validated, governed, and understood across the organization, driving enterprise-wide alignment and reuse. The Lead Business Information Architect drives design, implementation, tracking, and stewardship of enterprise ontologies, information models, and data standards, enabling high-quality analytics, regulatory compliance, data interoperability, and scalable data governance practices. The incumbent operates as an ontology expert, constructing complex implementations, driving engagement, and leading senior stakeholders both internal and external to the team.

Requirements

Bachelor's degree in Information Systems, Data Management, Business, Computer Science, or a related field.
7+ years of progressive experience in information architecture, data governance, semantic modeling, or related disciplines, with significant experience in a leadership or principal capacity.
Demonstrated mastery of enterprise metadata management and business glossary tools (e.g., Collibra, Alation, Informatica, Atlan).
Proven experience in 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.
Advanced ability to translate complex business concepts into clear, structured enterprise information models.
2 or more years of project leadership experience
Demonstrated ability to run large scale, highly visible programs with responsibility for multiple project teams

Nice To Haves

Master's degree
Experience leading information architecture initiatives within modern data ecosystems (e.g., lakehouse architectures, data mesh, semantic layers).
Familiarity with advanced knowledge graph technologies (e.g., RDF, OWL, SHACL, SPARQL).
Significant background in regulated industries (e.g., financial services, healthcare, manufacturing).
Advanced certifications (e.g., CDMP, DGSP, TOGAF).

Responsibilities

Develop enterprise ontologies, business glossaries, and semantic models to unify understanding of core business concepts across all business units and platforms.
Lead 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.
Serve as the subject matter expert 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.
Drive the adoption, integration, and optimization of metadata management tools to ensure consistency with enterprise information architecture standards.
Partner with senior solution architects, engineering leaders, enterprise architecture leaders, platform delivery leaders, analytics executives, and business stakeholders to embed business information architecture into strategic data products, integration patterns, and analytics platforms.
Promote the definition and adoption of semantic layers, shared business definitions, and reusable information patterns across cross-functional teams.
Translate complex business strategies and concepts into structured, enterprise-scale information models, providing thought leadership and mentorship.
Establish and govern enterprise standards for ontology modeling, naming conventions, metadata taxonomy, and semantic alignment.
Lead 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.
Identify, assess, and resolve complex inconsistencies in data definitions, business rules, and semantic structures, driving enterprise-wide remediation and best practices.
Lead support for regulatory, risk, and audit requirements by ensuring data meaning, provenance, and lineage are traceable, documented, and defensible.
Provide subject-matter expertise and guidance on data meaning, business context, and strategic data initiatives at the enterprise level.