Enterprise Data Modeler (Medicare Advantage)

About the role

As an Enterprise Data Modeler (Medicare Advantage), 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.
• Demonstrated expertise within the Medicare Advantage healthcare domain, including 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, data lakehouse architectures, Databricks, or similar analytics ecosystems.
• 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

• 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.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Salary and Other Compensation:

Applications will be accepted until September 06, 2026.

The annual salary for this position is between $ 130,000 - $ 150,000 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.

Over Cognizant  
Cognizant (NASDAQ: CTSH) is een bouwer van AI-oplossingen en een leverancier van technologiediensten. Wij slaan de brug tussen AI-investeringen en ondernemingswaarde door het bouwen van full-stack AI-oplossingen voor onze klanten. Onze diepgaande kennis van sectoren, processen en engineering stelt ons in staat om de unieke context van een organisatie te verankeren in technologische systemen. Deze systemen versterken het menselijk potentieel, realiseren tastbare resultaten en geven wereldwijde ondernemingen een voorsprong in een snel veranderende wereld. Ontdek hoe op cognizant.ai of @cognizant.

Aanvullende arbeidsinformatie
De informatie over de beloning is correct op de datum van deze vacature. Cognizant behoudt zich het recht voor om deze informatie op elk moment te wijzigen, met inachtneming van de toepasselijke wetgeving.

Van sollicitanten kan worden verwacht dat zij gesprekken bijwonen, persoonlijk of via een videogesprek. Daarnaast kan van kandidaten worden gevraagd om tijdens elk gesprek een geldig, door de overheid uitgegeven identiteitsbewijs (zoals een identiteitskaart of paspoort) te tonen.

Cognizant is een werkgever die gelijke kansen biedt. Je sollicitatie en kandidatuur worden niet beoordeeld op basis van ras, huidskleur, geslacht, religie, levensovertuiging, seksuele geaardheid, genderidentiteit, nationale afkomst, handicap, genetische informatie, zwangerschap, veteranenstatus of enige andere eigenschap die wordt beschermd door federale, regionale of lokale wetgeving.