Jobs · Information Technology · New York

Senior, Business Information Architect

Humana · New York, NY · 1 wk ago
On-siteInformation Technology$98k–$134k/yrFull-time

About the role

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.

Responsibilities

  • Strategic Enterprise Information Architecture & Ontology Leadership

  • 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

  • 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.

  • 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.

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).

  • 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).

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