Remote Enterprise Data Modeler – Healthcare Payer Medicare

Cognizant

Orange (CA)

Remote

USD 130,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Medical/Dental/Vision/Life Insurance
401(k) plan and contributions
Paid holidays plus Paid Time Off
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 data transformation. You will collaborate with governance, analytics, and domain stakeholders to create scalable, business-aligned data structures that enable analytics, reporting, AI, and operational excellence.

The role is remote within the United States, offering flexibility and opportunities to work with modern cloud-based platforms and Databricks as part of a

Qualifications

  • Experience in enterprise data modeling across multiple domains.
  • Strong data governance, metadata, and MDM concepts.
  • Ability to translate business concepts into enterprise data models.

Responsibilities

  • Develop and maintain enterprise data models aligning with strategy.
  • Create conceptual to physical data models for Medicare Advantage domains.
  • Facilitate workshops to establish data definitions and relationships.
  • Align models with governance, analytics, and AI initiatives.
  • Translate models into scalable technical solutions on cloud platforms.

Skills

Enterprise data modeling
Data architecture

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 data transformation. You will collaborate with governance, analytics, and domain stakeholders to create scalable, business-aligned data structures that enable analytics, reporting, AI, and operational excellence.

The role is remote within the United States, offering flexibility and opportunities to work with modern cloud-based platforms and Databricks as part of a

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