Dir, Enterprise Investment Strategy & Optimization

Novartis•East Hanover, NJ

9d•$185,500 - $344,500•Onsite

About The Position

The US Insights & Analytics organization engineers the optimal decision environment for the US business by integrating insights and analytics across therapeutic areas, functions, and the enterprise. Enterprise I&A delivers integrated executive analytics and portfolio insights to help the organization prioritize investments, track performance, and shape strategic direction. Reporting to the ED, Portfolio & Resource Analytics, the Director is accountable for enterprise and cross-portfolio resource optimization recommendations in partnership with Finance. The scope covers US direct external spend, capability spend, and FTEs. The role works closely with the Analytics, Capabilities & Modeling CoE to incorporate IPMM and other modeling inputs, external benchmarks, financial ratios, and structural comparisons into integrated resource recommendations. As a strategic partner to USLT and Finance, the position ensures US investments are used optimally to deliver short- and long-term performance. It leads a small US team of Associate Directors and extended team members in HYD. The role is based at the East Hanover, New Jersey site, is not remote, and requires 10% domestic and/or international travel as defined by the business.

Requirements

At least 8 years of experience in resource allocation, investment optimization, commercial analytics, strategic finance, or management consulting within the pharmaceutical or healthcare industry.
Bachelor’s degree in Business Administration, Economics, Finance, Engineering, or a related field.
Demonstrated experience translating quantitative model output into strategic recommendations for senior business and finance audiences.
Working knowledge of marketing mix, promotion response, and investment optimization methodologies sufficient to interrogate assumptions, methodology, and limitations.
Experience with external benchmarking and using financial ratios and analogs to inform resourcing and investment guidance.
Experience partnering directly with Finance on budget, investment, or headcount planning.
People management experience, including developing associates and working through globally distributed delivery models.
Excellent verbal and written communication skills, including the ability to persuasively present investment recommendations to senior leadership.
Ability to influence without authority and operate effectively in a two-in-a-box model.
Proficiency with Excel and data visualization tools such as Power BI, Tableau, or similar.

Nice To Haves

MBA or advanced degree.
Experience in top-tier management consulting or strategic in-house roles, with expertise in portfolio investment prioritization, launch planning, and resource allocation and optimization across promotional, capability, capital, and workforce investments within complex organizations.
Experience navigating large-scale organizational transformations and operating model redesigns.
Knowledge of the US pharmaceutical commercial and analytics ecosystem, AI-enabled decision-making, offshore analytics partnerships, and change management and stakeholder communication.

Responsibilities

Develop enterprise investment recommendations across the US portfolio, covering direct spend, capability spend, and headquarters and field FTEs.
Serve as the primary Insights & Analytics interface with Finance for investment optimization and resourcing guidance, and partner with SPT Strategy and USLT forums.
Set enterprise standards for producing, framing, and communicating resource optimization guidance; TA- and function-level application is carried out by the respective I&A pillars.
Partner in a two-in-a-box relationship with modeling leadership in the Analytics, Capabilities & Modeling CoE so consultation and modeling operate as one capability from the stakeholder’s perspective.
Focus enterprise resource optimization on the field investment envelope and FTE-level optimization, partnering with the I&A Field GTM & Deployment team, which is accountable for field sizing, deployment, and capacity planning.
Lead a small US team of Associate Directors and extended team members in HYD.
Translate quantitative model outputs into strategic investment recommendations for senior business and finance audiences.