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Novartis AG seeks an experienced enterprise resource optimization leader to bridge quantitative analysis and strategic advisory for the US Insights & Analytics organization. The role translates optimization outputs into investment recommendations for CFOs and leaders, guiding US direct spend, capability spend, and FTE allocation.
Reporting to the ED, Portfolio & Resource Analytics, you will collaborate with Finance and the Analytics CoE to set enterprise standards and drive cross-portfolio
#LI-Hybrid
This position will be located at East Hanover, NJ site and will not have the ability to be located remotely. This position will require 10% travel as defined by the business (domestic and/ or international
The US Insights & Analytics (I&A) organization engineers the optimal decision environment for the US business by orchestrating, integrating, and synthesizing insights and analytics across therapeutic areas, functions, and the enterprise. Enterprise I&A drives enterprise decision environments through integrated executive analytics and portfolio insights that enable the organization to prioritize investments, track performance, and shape strategic direction.
Reporting into the ED, Portfolio & Resource Analytics, the Dir, Enterprise Resource Optimization is accountable for enterprise / cross-portfolio resource optimization recommendations in partnership with Finance across US direct external spend, capability spend, and FTEs. This team will partner closely with the Analytics, Capabilities & Modeling CoE, for IPMM and other modeling inputs into integrated resource recommendations including external benchmarks, financial ratios, structural comparisons, etc.
Serving as a strategic partner for USLT and in close partnership with Finance this role is accountable for ensuring US investments are being used optimally to deliver both short-term and long-term performance
Novartis seeks an individual with extensive experience in the pharmaceutical or healthcare industry who combines quantitative fluency with genuine strategic consulting capability. The successful candidate will be able to interrogate an optimization model without needing to build it, recognize where its assumptions break down, and convert its output into an investment recommendation that a CFO or business leader can act on. Management consulting or comparable strategic advisory experience is highly relevant to this role.
The salary for this position is expected to range between $185,500.00 and $344,500.00
The final salary offered