AD, Advanced Analytics & Modeling

Novartis

Schweiz

Hybrid

CHF 145,000 - 270,000

Full time

4 days ago
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Job summary

Novartis AG is seeking an Associate Director, Advanced Analytics & Modeling to lead end-to-end analytical engagements across launches, therapeutic areas, and enterprise initiatives. You will define questions, shape methodologies, and deliver executive-ready recommendations, partnering with the Hyderabad analytics team and U.S.

leadership. The role demands deep expertise in analytics, data science, and decision science, with a track record of turning complex data into actionable insights that

Qualifications

  • 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

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.

Skills

Advanced Analytics
Data Science
Decision Science
Marketing Analytics
Econometrics
Operations Research
Promotions Effectiveness
Resource Optimization
Predictive Modeling
Patient-level Modeling

Education

Bachelor's degree in Statistics/Economics/Engineering/Mathematics/Operations Research/Data Science
Advanced degree preferred

Job description

Job Description Summary

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.

#LI-Hybrid

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 o

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Parental leave 14 weeks
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