Job Description Summary #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. Job Description Key Responsibilities: Member of a bench of five Associate Director-level Advanced Analytics Leads, deployed against priority enterprise, launch, portfolio, and in-market work as directed by the ED and capability Directors. Supports three capability areas: Promotion Effectiveness, Measurement & Resource Optimization; Key Drivers & Action Planning Analytics; and Predictive Modeling & Precision Health. Holds a primary capability home providing methodological depth, while contributing across the other capability areas as demand and priorities shift. End-to-end accountability for assigned analytical engagements – from problem framing through executive-ready recommendation – under the methodological direction of the relevant capability Director. Directs and quality-assures analytical execution carried out by Hyderabad team members on assigned engagements; no direct reports. Applies and contributes to enterprise analytical standards and reusable approaches; does not set them. Essential Requirements: Minimum 6 years of progressive experience in Advanced Analytics, Data Science, Decision Science, Commercial Analytics, Marketing Analytics, Econometrics, Operations Research, or a related quantitative field Bachelor’s degree in a quantitative discipline such as Statistics, Economics, Engineering, Mathematics, Operations Research, or Data Science; an advanced degree is preferred Demonstrated depth in at least one of: promotion effectiveness and marketing mix modeling, ROI and response-curve analysis, resource optimization, causal inference and experimentation, driver analysis and performance diagnostics, segmentation and archetyping, or predictive and patient-level modeling Demonstrated experience leading analytical work from problem framing through to executive recommendation Pharmaceutical, biotechnology, healthcare, or similarly complex data-rich commercial industry experience preferred Experience working with large, complex datasets and translating them into an integrated view of performance or opportunity Experience partnering directly with business stakeholders and presenting analytical findings to senior audiences Desirable Requirements: Breadth across more than one of the CoE capability areas, including promotion effectiveness and resource optimization, key drivers and action planning, and/or predictive modeling and precision health; experience supporting product launches and in-market brand performance. Experience with subnational, account, customer, or patient-level analytics, including work with offshore or globally distributed analytics teams. Experience contributing to reusable analytical capabilities rather than solely project-based analytics, and experience operating through a large-scale organizational transformation or operating model redesign. Novartis Compensation Summary: 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. 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 [email protected] 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 $176,400.00 - $327,600.00 Skills Desired 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 Improving the lives of people living with disease takes more than innovative science. It takes a focus on the needs of people and a community committed to meeting them. It takes a team of people like you. Working together. Learning together. Thriving together. Discover how you can join us in changing people’s lives. Novartis is aware of employment scams which make false use of our company name or leader’s names or recruiter’s names to defraud job seekers. Novartis does not make job offers without interview and never asks candidates for money. If you have encountered a job posting or been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond, send money or personal information. Novartis is not responsible for any claims, losses, damages, or expenses resulting from scams. In the context of China Cross-Border Data Transfer (CBDT) policy, if you need to apply for a position in China, please go to the local Recruiting System TaleNov .

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