
Level 5
#LI-Hybrid
The ideal location for this role is the East Hanover, NJ site but remote work may be possible (there may be some restrictions based on legal entity). Please note that this role would not pro-vide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to the East Hanover 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. This position will require per the manager’s discretion.
Job description
The Advanced Analytics & Modeling Center of Excellence transforms complex business questions into scalable analytical capabilities, decision-ready insights, and measurable business im-pact across the US portfolio. The CoE is deliberately flat: a small number of capability Directors, supported by a flexible bench of Associate Director-level Advanced Analytics Leads, working in integrated partnership with the Hyderabad analytics organization.
Reporting into the Executive Director, Advanced Analytics & Modeling, the Associate Director, Advanced Analytics & Modeling is a senior individual contributor on that bench. The role is deployed dynamically across launches, therapeutic areas, and enterprise initiatives in support of the CoE’s capability areas – Promotion Effectiveness, Measurement & Resource Optimization; Key Drivers & Action Planning Analytics; and Predictive Modeling & Precision Health. Each Associate Director holds a primary capability home while maintaining cross-capability flexibility and T-shaped skill development.
This is explicitly not a reactive shared-services or project-management role. The AD operates as an end-to-end analytical engagement lead – accountable from key business question definition through methodology selection, execution, and decision recommendation. The measure of the role is whether business decisions improved, not whether analyses were delivered.
The salary for this position is expected to range between $176,400 and $327,600 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.
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, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
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 in order to perform the essential functions of a position, please send an e-mail to tas.nacomms@novartis.com 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.
https://www.novartis.com/careers/careers-research/notice-all-applicants-us-job-openings
$176,400.00 - $327,600.00
Artificial Intelligence (AI), Biostatistics, Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Generative AI, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Neuro-Linguistic Programming (NLP), Organizational Awareness, Pandas Python Library, Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured Query Language (SQL), Time Series Analysis

Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.
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