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Manager, Capacity Management

Job in High Wycombe, Buckinghamshire, HP13, England, UK
Listing for: Johnson & Johnson Innovative Medicine
Full Time position
Listed on 2025-12-30
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below

Manager, Capacity Management

Johnson & Johnson Innovative Medicine

High Wycombe, Buckinghamshire, United Kingdom

Additional locations:
Beerse, Belgium (Requisition R-050307), Cork, Ireland (Requisition R-050307), United States (Requisition R-049141), High Wycombe, UK (Requisition R-050311)

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Purpose
  • The primary responsibility is to provide strategic resourcing insights and influence senior leadership decisions across multiple Divisions within JJIM.
  • Serve as a trusted advisor and strategic partner for one or more functional areas, building strong relationships and encouraging collaboration across boundaries.
  • Proactively identify risks and opportunities, not only through data analysis but by influencing partners to adopt forward‑looking resource planning practices.
  • Ensure integrity of resource forecasting models while connecting insights to broader business objectives and influencing resource allocation decisions.
  • This role goes beyond analytics to shape long‑term capacity strategies aligned with organizational priorities.
You Will Be Responsible For
  • Provide resource insights and analytics to assigned Functions on a monthly and ad‑hoc basis that drive functional strategic decision making.
  • Responsible for owning resource forecasting processes, including translating business processes into forecasting models, Supply v. Demand, overtime, attrition rates, J&J/Flex ratios, throughput analytics, resource trends, and many others.
  • Employ excellent listening skills to take complex information from the Functions to develop robust forecasting models through requirements gathering, validation, deployment, monitoring and controlling (i.e., ensure model health).
  • Enable financial planning cycles (BP, JU, NU, and CF) through a close partnership with Finance and Functional Business Operations Heads/Leads.
  • Drive collaboration and alignment with key business partners such as Resource Decision Support, PDPMs, PPLs, Finance, Planning & Portfolio Solutions, IT and more.
  • Apply excellent communication skills to translate sophisticated resource‑related technical information and data into clear recommendations for decision making.
  • Critical thinking and a strong ability to network successfully across boundaries and organizations will also be needed in this role.
  • In addition to Functional responsibilities, the candidate will work independently to shape and lead capabilities within their team including but not limited to Machine Learning, cross‑functional model accuracy metrics, and manual demand monitoring & control.
Education
  • Minimum of bachelor's degree is required
  • Advanced degree is preferred
Qualifications / Requirements
  • Minimum 6 years of industry experience
  • Proven track record to influence without authority, build strategic partnerships, and drive alignment across diverse stakeholders
  • Experienced analytical and data‑visualization skills (e.g., experience analyzing data trends, historical trends, data mining, simulation, optimization, predictive modelling, machine learning, etc.).
  • Ability to translate complex data into strategic insights and communicate recommendations that shape organizational decisions.
  • Outstanding interpersonal, communication, and influencing skills
  • Strong written and verbal communication skills
  • 10-15% travel as the need arises to support project teams at multiple site locations (Domestic/International)
Preferred
  • Experience in planning/forecasting roles is strongly preferred
  • General end to end drug development knowledge
  • Knowledge of Planisware
  • Development, delivery, and stewardship of parametric algorithms, ML models, or similar techniques for resource forecasting
  • Experience with reporting and statistical capabilities including (but not limited to) Tableau, Power BI, Spotfire, Minitab, etc.

Seniority level:
Not Applicable

Employment type:

Full‑time

Job function:
Other

Industries:
Pharmaceutical Manufacturing

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