[Hiring] Associate Director, Data Modeling Lead @Novartis

Role Description

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.

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.

Qualifications

• 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.

Requirements

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

Benefits

• Comprehensive benefits package including health, life and disability benefits.
• 401(k) with company contribution and match.
• Generous time off package including vacation, personal days, holidays, and other leaves.
• Performance-based cash incentive and eligibility for annual equity awards.

Salary Range

$152,600.00 - $283,400.00 per year.

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