As a Senior Data Modeler, you will make an impact by designing and establishing enterprise-wide data models that serve as the foundation for a large-scale healthcare data transformation program. You will be a valued member of the Data & Analytics team and work collaboratively with business leaders, data architects, governance teams, and healthcare domain stakeholders to create scalable, business-aligned data structures that enable analytics, reporting, AI, and operational excellence.
In this role, you will:
Develop and maintain enterprise business data models that align with organizational data strategy and business objectives.
Create conceptual, canonical, logical, physical, and domain data models across key Medicare Advantage business domains.
Facilitate workshops and collaborate with business and technology stakeholders to establish common business definitions, data standards, and entity relationships.
Align data models with data governance, metadata management, master data management (MDM), analytics, reporting, and AI initiatives.
Partner with implementation teams to translate business-driven data models into scalable technical solutions on modern cloud-based data platforms.
Work model:
We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered:
Extensive experience in enterprise data modeling, including conceptual, canonical, logical, physical, and domain-driven modeling methodologies.
Strong data architecture experience within health plan/payer environments** — Medicare Advantage-specific experience is a plus, but not required for candidates with solid payer data experience (e.g., claims, enrollment, provider networks) and the willingness and aptitude to ramp up quickly on Medicare Advantage-specific domains (Members & Enrollment, Providers & Networks, Claims & Encounters, Authorizations & Referrals, Care Management, HEDIS/STARS, Risk Adjustment (RAF/HCC), CMS Reporting, Delegated/IPA Models, and Value-Based Care).
Proven ability to translate complex business concepts into enterprise data models and establish consistent business definitions across multiple stakeholder groups.
Experience facilitating requirements discovery sessions, business workshops, and cross-functional stakeholder engagements.
Strong understanding of data governance, metadata management, master data management (MDM), data quality, and data lineage concepts.
Experience working with modern cloud-based data platforms and data lakehouse architectures, **with willingness and aptitude to ramp up on Databricks specifically** (direct Databricks experience is a plus, not a requirement).
Experience supporting enterprise-scale data transformation, modernization, or data architecture initiatives.
Bachelor's degree or equivalent combination of education and relevant professional experience.
These will help you stand out:
Hands-on experience with Databricks or similar unified analytics platforms.
Demonstrated expertise within the Medicare Advantage healthcare domain specifically.
Experience designing healthcare enterprise information models for payer organizations.
Knowledge of healthcare regulatory reporting requirements and CMS data standards.
Familiarity with data product frameworks and domain-oriented data architecture approaches.
Experience collaborating with data stewardship and governance organizations to improve data quality and business alignment.
Understanding of AI, advanced analytics, and reporting use cases supported by enterprise data models.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation:
Applications will be accepted until November 05, 2026.
The annual salary for this position is between $ 120,000 - $ 140,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Cognizant US Corporation is an Equal Opportunity Employer Minority/Female/Disability/Veteran. If you require accessibility assistance applying for open positions in the US, please send an email with your request to CareersNA2@cognizant.com
Extensive enterprise data modeling experience, strong data architecture in health plan/payer environments, ability to translate business concepts, facilitate workshops, and work with cloud data platforms; bachelor's degree or equivalent.
Key Responsibilities
- designing data models
- facilitating workshops
- aligning data governance
Skills & Tools
Databricks
Job Details
- Category: Data and Analytics
- Seniority: Senior Level
- Commitment: Full Time
- Workplace: Remote — United States
- Salary: USD 120,000 – 140,000 / year
- Languages: English
Benefits
- 401k matching
- Generous paid time off
- Retirement plan
- Generous parental leave
About Cognizant
A technology company providing data and analytics solutions for healthcare transformation. — Industry: Information Technology