Director of Advanced Analytics & Growth Strategy

U014 (FCRS = US014) Novartis Pharmaceuticals Corporation

United States

Hybrid

USD 195,000 - 361,000

Full time

4 days ago

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Job summary

Novartis Pharmaceuticals Corporation in East Hanover, NJ seeks a Director of Advanced Analytics & Modeling – KDA (Key Drivers & Actions). This role leads enterprise analytics across brands, markets, and accounts, shaping strategic decisions and action plans.

Travel up to 15% and collaboration with cross-functional teams are essential. The ideal candidate has 8+ years in advanced analytics or data science, with leadership experience in pharma or healthcare, and a track record of turning insights

Qualifications

8+ years of experience in advanced analytics or related field.
Experience in pharma/healthcare industry preferred.
Leadership experience and ability to mentor analytics professionals.
Experience applying analytics to business performance and action.
Strong communication with senior stakeholders.

Responsibilities

Lead the enterprise Key Drivers & Action Planning analytics capability across launch and in-market priorities.
Design and oversee advanced analyses that identify primary factors driving growth, decline, adoption, access, market variation, and performance gaps.
Develop performance archetypes and opportunity/barrier diagnostics across brands, markets, accounts, customers, and geographies.
Translate analytical findings into prioritized actions and differentiated playbooks for relevant business functions.
Ensure Key Drivers analytics addresses enterprise performance broadly and is not limited to field execution.
Support launch strategy by identifying likely performance drivers, barriers, and market archetypes before and after launch.
Apply scenario-based analytics to clarify which actions or levers are most likely to improve outcomes.
Partner with business and analytics stakeholders to connect driver insights with practical decisions and measurable actions.
Ensure analytical approaches are rigorous, interpretable, scalable, and appropriate to the decision context.
Develop and mentor analytics talent and contribute to the evolution of enterprise Advanced Analytics capabilities.