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Novartis

Associate Director, Data Modelling Lead

Novartis is hiring an Associate Director, Data Modelling Lead for a remote role open to applicants in United States. It pays $153k-$283k a year and Level rates it ; you can apply on Novartis.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include data modeling, data architecture and metadata.
  • Level classifies it as a lead role.
  • Level lists 864 other open roles at Novartis.

AI in this role

Design and govern enterprise data models and AI-ready datasets to support analytics and reporting across Novartis.

data-modelingdata-architecturemetadatadata-governanceenterprise-data

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 us.reasonableaccommodations@novartis.com 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

How we rate this

Associate Director, Data Modelling Lead at Novartis rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data ModelingData ArchitectureMetadataData GovernanceEnterprise Data

Questions you could be asked

  1. Tell me about a project where data modeling was part of your work. What did you do?
  2. Tell me about a project where data architecture was part of your work. What did you do?
  3. Tell me about a project where metadata was part of your work. What did you do?
  4. Tell me about a project where data governance was part of your work. What did you do?
  5. Tell me about a project where enterprise data was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Modeling, Data Architecture, Metadata, Data Governance, and Enterprise Data. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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