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 Co E, 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 (Co E).
• 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.

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's degree in Business Administration, Economics, Finance, Engineering, or a related field; an MBA or advanced degree is preferred
• Proven ability to translate complex quantitative analyses and model outputs into actionable business 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 initiatives.
• Demonstrated strategic problem-solving skills, with 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, with the ability to build alignment across functions and operate effectively without direct authority.
• Experience leading and developing teams within global or matrixed organizations, combined with strong analytical proficiency in Excel, Powe
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