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Novartis Group of Companies in East Hanover, NJ seeks an Associate Director to lead the enterprise Key Driver Analytics (KDA) capability and manage a cross-functional team delivering advanced analytics at scale. The role spans US-Hyderabad operations, guiding analytics strategy, governance, and adoption of insights across brands and markets.
The position requires 8+ years in analytics within pharma/healthcare, strong leadership, stakeholder influence, and expertise in multivariate modeling and
Job Description Summary
#LI-Hybrid
The ideal location for this role is 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 provide relocation as a result. If associate is remote, all home office expenses and any travel/lodging to specific East Hanover, NJ 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 15% travel.
Lead two critical capability areas within Advanced Analytics & Modeling (AA&M): enterprise Key Drivers Analytics (KDA) capability and the Associate Director team that scales across the portfolio providing Advanced Analytics solutions.
As KDA capability owner, apply advanced multivariate and diagnostic methods to explain what is driving performance across brands, markets, accounts, customers, and geographies, and translate that evidence into clear, prioritized actions.
As leader of the Associate Director team, deploy analytics talent across Precision Health, Integrated Promotion Mix Modeling (IPMM), KDA, AI & Unstructured Intelligence, and ad-hoc priorities set quarterly by the Executive Director, AA&M, so the AA&M portfolio delivers decision-ready evidence at scale.
Job Description
Key Responsibilities:
Essential Requirements:
Desirable Requirements:
Novartis Compensation Summary:
The salary for this position is expected to range between $194,600.00 and $ 361,400.00
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.
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 us.reasonableaccommodations@novartis.com or 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.
Salary Range
$194,600.00 - $361,400.00
Skills Desired
Agile Methodology, Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Strategies, Data Visualization, Deep Learning, Generative AI, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Neuro-Linguistic Programming (NLP), Organizational Awareness, Stakeholder Engagement, Statistical Analysis, Time Series Analysis, Vision Planning, Visualizations