Director, Enterprise Data Modeling - Remote-Eligible

U014 (FCRS = US014) Novartis Pharmaceuticals Corporation; United States; Hybrid; USD 153,000 - 283,000; Full time

Job summary

Novartis Pharmaceuticals Corporation in East Hanover, New Jersey is seeking an Associate Director, Data Modeling to design and govern enterprise data assets supporting analytics and AI-ready datasets. You will partner with business and technology leaders to create scalable, reusable data models across domains such as customer, product, payer, and territory.

You will translate business requirements into implementable structures, establish modeling standards, review models for CDM alignment, and

Qualifications

• Bachelor’s degree in data management, information systems, CS, engineering, analytics, or related field.
• 5+ years of experience in data modeling, data architecture, data engineering, or enterprise data management.
• Experience building enterprise data models for data platforms, data products, or CDM programs.
• Experience translating requirements into implementable data structures.

Responsibilities

• Design, govern, and document enterprise data models.
• Translate business requirements into scalable data structures.
• Model domains such as customer, product, payer, and territory.
• Collaborate with teams to define entities, relationships, and rules.
• Maintain data modeling standards and patterns.
• Ensure models align with CDM standards.
• Support data products with governed, AI-ready data.
• Identify data model gaps and cross-domain inconsistencies.

Skills

Data modeling

Data architecture

Stakeholder engagement

Cross-functional collaboration

Education

Bachelor's degree in data management, information systems, CS, engineering, analytics, or related field

Job description

Novartis Pharmaceuticals Corporation in East Hanover, New Jersey is seeking an Associate Director, Data Modeling to design and govern enterprise data assets supporting analytics and AI-ready datasets. You will partner with business and technology leaders to create scalable, reusable data models across domains such as customer, product, payer, and territory.

You will translate business requirements into implementable structures, establish modeling standards, review models for CDM alignment, and