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Senior, Business Information Architect

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Humana Inc
Full Time position
Listed on 2026-04-17
Job specializations:
  • IT/Tech
    Data Security, Data Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 97900 - 133500 USD Yearly USD 97900.00 133500.00 YEAR
Job Description & How to Apply Below

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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.

Key Responsibilities 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.

Use your skills to make an impact

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…
Position Requirements
10+ Years work experience
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