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Information Architect

Personal Genome Diagnostics

Information Architect

Labcorp is a leader in diagnostics, drug development and healthcare innovation. Across every role, we harness data and AI to work smarter, move faster and create breakthrough solutions that improve health outcomes for people. With our global scale and deep expertise, you'll do meaningful work, grow your career and make a real impact. Together, we're improving health and improving lives.

Labcorp is seeking an Information Architect in the Durham, NC location!

Work Schedule: Monday- Friday 8:00am- 5:00pm

We are seeking an experienced Information Architect with healthcare domain expertise to support enterprise analytics across laboratory, clinical, and operational data. This role partners with Data Engineering, Analytics, and AI teams to design analytics-ready data models, enable trusted data, and improve data discoverability using modern, AI-assisted metadata capabilities.

Responsibilities
  • Design and maintain analytics-focused data models, including:
    • Star schema / dimensional models for reporting and BI
    • Relational data models supporting enterprise analytics
  • Partner with data and analytics teams to transform complex healthcare and lab data into clear, usable information
  • Support semantic models, KPIs, and metric standardization across analytics platforms
  • Contribute to data catalog, dictionary, and lineage using AI-enabled tools for improved discovery and trust
  • Collaborate with business and technical stakeholders to ensure shared definitions and consistent data usage
  • Support data governance, quality, and compliance standards (e.g., HIPAA)
Minimum Qualifications
  • Bachelor's degree
Preferred Qualifications:
  • 5 or more years of experience in Information Architecture or Data Architecture
  • 1 or more years of experience with Star schema and dimensional modeling
  • 1 or more years of experience with Relational database design
  • 1 or more years of experience with SQL and analytics platforms
Additional job standards
  • Experience in healthcare, diagnostics, or clinical data
  • Exposure to AI-assisted data management, metadata, catalog, or lineage tools
  • Strong communication skills and ability to bridge business and technical teams
  • Experience with cloud data platforms (Azure, AWS, Snowflake, Databricks)
  • Familiarity with BI tools (Power BI)
  • Experience with data governance or enterprise metadata platforms
  • Background supporting advanced analytics or AI/ML use cases

At Labcorp we have a passion in helping people live happy and healthy lives. Every day we provide vital information that helps our clients and patients understand their health. If you are passionate about helping people and have a drive for service, then Labcorp could be a great next career step!

Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.

We encourage all to apply. If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

Vacancy posted 2 days ago
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