Remote Enterprise Data Modeler — Healthcare Payer

Cognizant; Atlanta (GA); Remote; USD 130,000 - 150,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays + PTO

401(k) plan

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is seeking an Enterprise Data Modeler - Healthcare Payer to design enterprise-wide data models for a large healthcare transformation program. You will collaborate with business leaders, data architects, governance teams, and domain stakeholders to create scalable data structures enabling analytics, reporting, AI, and operational excellence.

Remote-friendly role in the United States. You will facilitate workshops, translate concepts into models, and align data models with governance and

Qualifications

• Extensive experience in enterprise data modeling across multiple domains.
• Strong data architecture experience in health plan/payer environments and related domains.
• Ability to translate complex concepts into enterprise data models and definitions.

Responsibilities

• Develop and maintain enterprise data models aligned with strategy and objectives.
• Create conceptual, canonical, logical, physical, and domain models for Medicare Advantage domains.
• Facilitate workshops and align definitions, standards, and relationships across stakeholders.
• Align models with governance, MDM, analytics, reporting, and AI initiatives.
• Collaborate with implementation teams to translate models to scalable cloud-based solutions.

Skills

Enterprise data modeling

Data architecture

Stakeholder collaboration

Data governance

Databricks

Education

Bachelor's degree or equivalent

Tools

Databricks

Job description

Cognizant is seeking an Enterprise Data Modeler - Healthcare Payer to design enterprise-wide data models for a large healthcare transformation program. You will collaborate with business leaders, data architects, governance teams, and domain stakeholders to create scalable data structures enabling analytics, reporting, AI, and operational excellence.

Remote-friendly role in the United States. You will facilitate workshops, translate concepts into models, and align data models with governance and