AD, Enterprise Investment Strategy & Optimization (2 positions)

Novartis•East Hanover, NJ

9d•$145,600 - $270,400•Onsite

About The Position

The Associate Director, Enterprise Resource Optimization is part of the US Insights & Analytics organization, which develops integrated insights and analytics to support enterprise decisions, investment prioritization, performance tracking, and strategic direction. Reporting to the Director, Enterprise Resource Optimization, this role develops enterprise and cross-portfolio resource optimization recommendations in partnership with Finance. The work covers components of US direct external spend, capability spend, and workforce resources, including HQ and field resourcing. The role works closely with the Analytics, Capabilities & Modeling Center of Excellence (CoE), using inputs such as IPMM models, external benchmarks, financial ratios, and structural comparisons. The successful candidate brings pharmaceutical or healthcare industry experience, quantitative fluency, and strategic consulting capability: they must be able to evaluate model assumptions and outputs and turn them into defensible, actionable investment recommendations for senior leaders. The position is based at the East Hanover, New Jersey site and cannot be performed remotely. It requires 10% travel, as defined by the business, which may be domestic and/or international.

Requirements

At least 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’s degree in Business Administration, Economics, Finance, Engineering, or a related field.
Ability to translate complex quantitative analyses and model outputs into actionable recommendations for senior commercial, finance, and executive stakeholders.
Strong understanding of commercial investment strategy, including marketing mix, promotion response, investment optimization, benchmarking, financial ratios, and portfolio-level decision-making.
Experience partnering closely with Finance on budgeting, investment planning, resource allocation, and headcount management.
Strategic problem-solving skills, including the ability to structure ambiguous business challenges and develop clear, data-driven recommendations.
Deep business acumen and knowledge of pharmaceutical commercial operations, investment dynamics, and analytics-driven decision-making.
Excellent communication, stakeholder management, and influencing skills; ability to build alignment across functions and work effectively without direct authority.
Experience leading and developing teams in global or matrixed organizations.
Strong analytical proficiency in Excel, Power BI, Tableau, or similar data visualization tools.
Ability to navigate ambiguity with sound judgment.

Nice To Haves

MBA or advanced degree.
Experience in top-tier management consulting or strategic business leadership.
Track record of portfolio investment prioritization, launch resourcing, and decision-making across commercial, workforce, capital, and capability investments.
Experience leading large-scale organizational transformation, operating model redesign, and change management.
Knowledge of the U.S. pharmaceutical commercial and analytics ecosystem, including AI-enabled approaches, offshore delivery models, and stakeholder communications.

Responsibilities

Lead enterprise investment optimization efforts across the US portfolio and recommend data-driven approaches to direct spend, capability investments, and HQ and field resourcing.
Develop integrated investment and workforce planning strategies by synthesizing optimization models, financial analyses, external benchmarks, and industry analogs.
Partner with Finance to develop investment recommendations that maximize business impact, operational efficiency, and resource allocation effectiveness.
Challenge historical investment approaches and establish fact-based frameworks for allocating budgets and talent.
Build and maintain external benchmarking capabilities to compare investment levels with 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 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 stakeholders to align investment, resourcing, and business priorities.
Support enterprise planning cycles and executive governance processes with resource optimization insights and recommendations.
Lead and develop teams within global or matrixed organizations.