Manager, Capacity Management

Johnson & Johnson Innovative Medicine; Raritan (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

Scorpion Therapeutics in New Jersey seeks a Manager of Capacity Management within R&D Project Management to develop resource and capacity strategies across divisions for leadership decision‑making.

Responsibilities include analytics on resource trends, owning forecasting models for supply, demand, attrition, and throughput, and translating data into executive summaries and visuals. Travel 10-15% is possible.

Qualifications

• Bachelor’s degree required with 6+ years in data analysis or portfolio/operational modeling.
• Proficiency in visualization tools and advanced analytics techniques.
• Experience applying predictive modeling and machine learning to capacity planning.

Responsibilities

• Provide analytics on resource trends and own forecasting models for supply, demand, attrition and throughput.
• Translate complex data into executive summaries and visualizations for leadership.
• Partner with cross-functional teams to refine models and support financial planning cycles.

Skills

Forecasting

Data analysis

Visualization

Predictive modeling

Machine learning

Education

Bachelor's degree

Tools

Tableau

Power BI

Job description

Role: Manager of Capacity Management within R&D Project Management, responsible for developing resource and capacity strategies across multiple divisions to inform leadership decision‑making.

Responsibilities include providing analytics on resource trends, owning forecasting models related to supply, demand, attrition, and throughput, and translating complex data into executive summaries and visualizations.

The role involves partnering with functional teams to refine models, support financial planning cycles, and align resource allocation with organizational priorities.

It requires a strategic thinker capable of navigating ambiguity, influencing stakeholders, and leading cross‑functional collaborations.

Qualifications: minimum of a bachelor's degree, at least 6 years of industry experience in data analysis, portfolio or operational modeling, with expertise in visualization tools (e.g., Tableau, Power BI) and techniques such as predictive modeling and machine learning.

Preferred: experience in pharma R&D planning, forecasting, and familiarity with platforms like Planisware.

High‑Value: supports biopharma R&D with a focus on resource planning, forecasting, and capacity optimization in drug development settings, with potential involvement in global projects.

Work setup involves domestic and international travel (10-15%).