Associate Director, Data Modelling Lead

Novartis•East Hanover, NJ
•$152,600 - $283,400•Hybrid

About The Position

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.

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.

Nice To Haves

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

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.

Benefits

  • health, life and disability benefits
  • 401(k) with company contribution and match
  • generous time off package including vacation, personal days, holidays and other leaves
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