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About the Role

The Lead Business Information Architect is responsible for developing, evangelizing, and maintaining the enterprise's information landscape. This role ensures 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 incumbent operates as an ontology expert, constructing complex implementations, driving engagement, and leading senior stakeholders.

Responsibilities

Develop enterprise ontologies, business glossaries, and semantic models to unify understanding of core business concepts.
Lead the development and evolution of canonical data models, conceptual information models, and domain models at scale.
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.
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.
Partner with senior solution architects, engineering leaders, enterprise architecture leaders, platform delivery leaders, analytics executives, and business stakeholders.
Promote the definition and adoption of semantic layers, shared business definitions, and reusable information patterns.
Translate complex business strategies and concepts into structured, enterprise-scale information models.
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.
Ensure adherence to industry best practices in information architecture, FAIR data principles, and semantic data governance.
Identify, assess, and resolve complex inconsistencies in data definitions, business rules, and semantic structures.
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.

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.
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).
This role is not eligible for work visa sponsorship.

Skills

Information Architecture
Data Governance
Semantic Modeling
Ontology Design
Business Glossary Management
Metadata Management
Data Modeling
Data Standards
Regulatory Compliance
Data Interoperability
FAIR Data Principles
Knowledge Graph Technologies (RDF, OWL, SHACL, SPARQL)
Collibra
Alation
Informatica
Atlan

Location

Louisville, KY
Washington, DC (Arlington, VA)
Dallas, TX
Fort Lauderdale, FL
Chicago, IL
New York, NY
Nashville, TN

Work Type

Hybrid
Remote
Full-time

Experience Level

Lead
Principal
Senior

Education Level

Bachelor's degree
Master's degree

Salary/Compensations

$117,600 - $161,700 per year

Benefits

Medical benefits
Dental benefits
Vision benefits
401(k) retirement savings plan with excellent company match
Generous PTO package
Health benefits effective day 1
Annual Incentive Plan
Well-being program
Paid Volunteer Time Off
Paid parental leave
Paid caregiver leave
Short-term disability
Long-term disability
Life insurance

About the Company

Humana Inc. is a leading U.S. healthcare company. Through its Humana insurance services and CenterWell healthcare services, it makes it easier for millions of people to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity

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.