Resource Lead

Philip Morris International U.S.•Aurora, CO
•$88,000 - $110,000•Onsite

About The Position

Philip Morris International is seeking a Resource Lead to support the Production team in Aurora, Colorado. The role maintains machine performance parameters and optimizes manufacturing resource schedules, including staffing and calendars for Maintenance, Training, Trials, and Engineering. It is the primary manufacturing contact for line scheduling optimization and works closely with Site Integrated Planning to support production planning, capacity management, and operational performance. The position supports quality, delivery, and cost objectives by reviewing production plans, coordinating specification changes, optimizing staffing and resource schedules, maintaining machine performance data, monitoring schedule execution, and supporting performance reviews and continuous improvement initiatives.

Requirements

  • Bachelor's degree or equivalent combination of education and experience.
  • 1–3 years of manufacturing and/or supply chain experience, preferably in a high-speed manufacturing environment.
  • Experience with manufacturing systems and production scheduling tools.
  • Knowledge of manufacturing support functions, including Maintenance, Engineering, Training, Trials, and workforce planning.
  • Understanding of capacity planning, uptime calculations, downtime classifications, and performance reporting.
  • Experience with production planning and customer demand requirements.
  • Fluent in English and the local language.

Nice To Haves

  • Open+ training preferred.

Responsibilities

  • Collaborate with Planning to ensure production plans meet quality requirements.
  • Coordinate specification changes through cross-functional teams.
  • Review and validate production plans from a manufacturing perspective.
  • Support Master Production Planning and product wheel development.
  • Optimize staffing, resource schedules, and manufacturing calendars.
  • Serve as the manufacturing point of contact for line scheduling optimization.
  • Maintain machine performance data, including uptime, design speed, and capability assumptions.
  • Monitor schedule execution and coordinate corrective actions as needed.
  • Provide planning teams with machine capabilities, performance assumptions, and working calendars.
  • Support monthly performance reviews and continuous improvement initiatives.
  • Optimize labor and equipment utilization while maintaining stock policies.
  • Support cost-effective production plans without compromising safety, quality, or delivery.
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