Associate Director, Data Modelling Lead

• Posted 4 days ago • Updated 10 hours ago
Full Time
USD $152,600.00 - 283,400.00 per year
Fitment

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Job Details

Skills

  • Legal
  • Jersey
  • Health Care
  • Reporting
  • Innovation
  • Decision-making
  • Business Rules
  • Design Patterns
  • Meta-data Management
  • Artificial Intelligence
  • Documentation
  • Management Information Systems
  • Computer Science
  • Data Engineering
  • Master Data Management
  • Clinical Data Management
  • Data Structure
  • Data Warehouse
  • Analytics
  • Data Architecture
  • Data Modeling
  • Cloud Computing
  • Data Management
  • Recruiting
  • Training
  • Promotions
  • Accessibility
  • Collaboration
  • Customer Engagement
  • Data Analysis
  • Digital Marketing
  • Market Research
  • Media
  • Product Marketing
  • Stakeholder Engagement
  • Stakeholder Management
  • Team Leadership
  • Waterfall

Summary

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 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 or call 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10231926
  • Position Id: d5c3c70a992d02421d50890cc0c23e7e
  • Posted 4 days ago
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