Senior, Business Information Architect

Overview Become a part of our caring community. The Senior Business Information Architect is a key contributor responsible for establishing, documenting, advancing, and maintaining the enterprise's information landscape. This role ensures that business concepts, data definitions, and metadata are consistently documented, modeled, governed, and understood across the organization, driving enterprise‑wide alignment and reuse. The Senior Architect provides exemplary guidance and support in the design and stewardship of enterprise ontologies, information models, and data standards, enabling high‑quality analytics, regulatory compliance, data interoperability, and scalable data governance practices. You will operate as a trusted contributor and thought spokesperson for the governance organization, collaborating across teams and educating the information architecture community. 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. Required Qualifications 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. Preferred Qualifications Master's degree. Experience with 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). Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. #J-18808-Ljbffr Humana