AD, Enterprise Investment Strategy & Optimization (2 positions)

Job Description Summary #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 Dir, Enterprise Resource Optimization, the AD, Enterprise Resource Optimization is accountable for the enterprise / cross-portfolio resource optimization recommendations in partnership with Finance across some components of 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. This role will be accountable for ensuring rigor and discipline in creating data-driven recommendations grounded in defendable decision frameworks.   Job Description Key Responsibilities:     • Lead enterprise investment optimization efforts across the US portfolio, providing data-driven recommendations on direct spend, capability investments, and HQ/field resourcing. • Develop integrated investment and workforce planning strategies by synthesizing optimization models, financial analyses, external benchmarks, and industry analogs. • Partner closely with Finance to co-create investment recommendations that maximize business impact, operational efficiency, and resource allocation effectiveness. • Challenge historical investment approaches and establish fact-based allocation frameworks to drive optimal deployment of budgets and talent. • Build and maintain external benchmarking capabilities to assess investment levels against industry peers and identify opportunities for improvement. • Translate complex analytical outputs into clear, actionable recommendations for senior leadership and executive decision-making forums. • Serve as the strategic consultation lead in a two-in-a-box partnership with the Analytics, Capabilities & Modeling Center of Excellence (CoE). • Define business questions, shape modeling requirements, validate assumptions, and stress-test methodologies to ensure robust, actionable insights. • Collaborate with Forecasting, Enterprise & Functional Excellence, and other key stakeholders to align investment, resourcing, and business priorities. • Support enterprise planning cycles and executive governance processes by providing resource optimization insights and recommendations that enable informed decision-making.   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.   Essential Requirements: • Minimum 6+ years of experience in resource allocation, investment optimization, commercial analytics, strategic finance, or management consulting within the pharmaceutical, biotechnology, healthcare, or life sciences industry. • Bachelor’