Novartis Logo

Novartis

Associate Director, Data Modelling Lead

Reposted One Month Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in USA
153K-283K Annually
Senior level
In-Office or Remote
Hiring Remotely in USA
153K-283K Annually
Senior level
Design and govern conceptual, logical, and physical enterprise data models supporting analytics, reporting, AI-ready datasets, and certified data products. Translate business requirements into scalable data structures across customer, product, payer, and territory domains. Establish modeling standards, review models against Common Data Model standards, maintain metadata and lineage accuracy, and resolve data gaps and inconsistencies. Collaborate with business, engineering, and technology stakeholders to provide modeling expertise and design guidance.
The summary above was generated by AI

Job Description Summary

#LI-Onsite
Location: East Hanover, New Jersey
Novartis is unable to offer relocation support: please only apply if accessible.
Company will not sponsor visas for this position.
The preferred location for this role is East Hanover, New Jersey site but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover, New Jersey site for periodic live meetings will be at the employee’s expense. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager.
What if the data models you build could transform how a global healthcare company serves millions of patients? As Associate Director, Data Modeling, you will play a critical role in designing and governing enterprise data assets that support analytics, reporting, and AI-ready datasets across Novartis. You'll partner with business and technology leaders to create scalable, reusable data models that power innovation and informed decision-making.


 

Job Description

Key Responsibilities

  • Design and govern conceptual, logical, and physical enterprise data models.

  • Translate business requirements into scalable, implementation-ready data structures.

  • Model critical enterprise domains, including customer, product, payer, and territory data.

  • Partner with business and technical teams to define entities, relationships, and business rules.

  • Establish and maintain enterprise data modeling standards and design patterns.

  • Review and approve data models for alignment with Common Data Model standards.

  • Ensure data models are accurately represented within metadata and lineage platforms.

  • Support certified data products with governed, reusable, AI-ready data structures.

  • Identify and resolve data model gaps, duplication, and cross-domain inconsistencies.

  • Provide data modeling expertise, documentation, and design guidance to stakeholders and engineering teams.

Essential Requirements

  • Bachelor’s degree in Data Management, Information Systems, Computer Science, Engineering, Analytics, Business, or related field.

  • 5+ years of experience in data modeling, data architecture, data engineering, or enterprise data management.

  • Experience building conceptual, logical, and physical data models for enterprise data platforms, data products, master data, or CDM programs.

  • Experience working with business and technical teams to translate requirements into implementable data structures.

  • Experience with data product, data warehouse, lakehouse, or analytics platform environments.

Desirable Requirements

  • Advanced degree or relevant data architecture, data modeling, cloud, or data management certification preferred.

The salary for this position is expected to range between $152,600 - $283,400 per year. The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors. 

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves. 

 

To learn more about the culture, rewards and benefits we offer our people click here. 


 

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. 


 

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [email protected] or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.


 

Salary Range

$152,600.00 - $283,400.00


 

Skills Desired

Cross-Functional Collaboration, Customer Engagement, Customer Insights, Data Analytics, Digital Marketing, Market Research, Media Campaigns, Product Marketing, Stakeholder Engagement, Stakeholder Management, Team Leadership, Waterfall Model

Novartis Cambridge, Massachusetts, USA Office

Cambridge, United States, 0

Similar Jobs

17 Minutes Ago
Remote or Hybrid
12 Locations
Senior level
Senior level
Financial Services
Manage end-to-end domestic and international corporate travel bookings using Sabre, including PNRs, ticketing, and exchanges. Resolve complex, time-sensitive travel issues, coordinate with vendors, and support independent travel advisors and clients. Maintain strong client relationships through clear communication, accuracy, organization, and high-quality service while handling high volumes of requests. Stay current on travel industry practices, regulations, products, destinations, and operating procedures.
Top Skills: ExcelMicrosoft OutlookMicrosoft WordSabre GdsTravel Management Technology Tools
17 Minutes Ago
Remote or Hybrid
OH, USA
Senior level
Senior level
Financial Services
Leads the design, engineering, and delivery of production-grade agentic AI solutions for mainframe and midrange infrastructure management. Owns architecture, implementation, testing, rollout, monitoring, resiliency, security, and operational readiness. Partners with SRE, operations, risk, and architecture teams to ensure governance and reliability. Evaluates tools and vendors, communicates technical decisions, and mentors engineers while driving automation and reducing operational toil.
Top Skills: Agentic AiAIAPIsAutomation PlatformsCi/CdDistributed SystemsLogsMainframe SystemsMetricsMidrange SystemsObservabilityTraces
32 Minutes Ago
Remote or Hybrid
17 Locations
160K-210K Annually
Senior level
160K-210K Annually
Senior level
Information Technology • Productivity • Software • Infrastructure as a Service (IaaS)
Own the reliability, performance, architecture, and lifecycle of heterogeneous database platforms. Design and operate relational, NoSQL, caching, time-series, and warehouse systems; improve provisioning, developer tooling, CI/CD, backups, disaster recovery, security, and performance. Influence architecture and product decisions, lead migrations and upgrades, troubleshoot developer and production environments, and establish platform standards, documentation, and regulatory traceability.
Top Skills: Amazon AuroraAmazon RdsAWSAzureBigQueryC++Ci/CdCloudFormationFargateGCPGoIamJavaKotlinKubernetesPostgresRedshiftSnowflakeTerraform

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account