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Manager, Capacity Planning & Network Modeling

Ball Corporation

São José dos Campos

Presencial

BRL 120.000 - 160.000

Tempo integral

Hoje
Torna-te num dos primeiros candidatos

Resumo da oferta

A global leader in aluminum packaging is looking for a Manager in Capacity Planning and Network Modeling. You will optimize logistics efficiency by analyzing, forecasting, and designing logistics networks. The ideal candidate has a Bachelor's degree related to supply chain and solid experience in logistics operations. Join a diverse team and contribute to sustainable practices in Brazil, São Paulo.

Qualificações

  • Experience in logistics operations and processes.
  • Experience in forecasting demand and optimizing resources.
  • Experience in network modeling for logistics.

Responsabilidades

  • Conduct detailed analysis of logistics capacity.
  • Utilize advanced modeling techniques for future demand forecasting.
  • Design and optimize logistics networks.

Conhecimentos

Logistics operations understanding
Logistics network design
Capacity planning
Data analysis for optimization
Team collaboration
Advanced English

Formação académica

Bachelor's degree in Finance, Supply Chain Management, or Statistics

Ferramentas

Advanced modeling techniques
Simulation tools
Descrição da oferta de emprego
Overview

Ball, a world leader in manufacturing sustainable aluminum packaging, invites you to contribute to a global impact. Ball is excited to have received Newsweek's 2023 Top 100 Global Most Loved Workplace award. We have over 16,000 team members worldwide, working to deliver endlessly recyclable aluminum cans, cups, and aerosol bottles to contribute to a better community, society, and world.

Position Overview

As the Manager, Capacity Planning and Network Modeling, you will be a key member of the Global Supply Chain Planning & Execution Team, reporting to the Sr. Director, Global Supply Chain and Logistics. You will contribute to the success of Ball by optimizing logistics network efficiency and effectiveness through capacity planning and network modeling. You will analyze infrastructure, forecast demand, and design agile, cost-effective networks to accommodate growth while maximizing service levels.

Your Key Areas of Responsibilities Include
  • Conduct detailed analysis of current logistics capacity, including warehouse space, transportation routes, and distribution centers, to identify areas for optimization.
  • Utilize advanced modeling techniques and simulation tools to forecast future demand and assess the impact on logistics capacity and resources.
  • Design and optimize logistics networks, considering factors such as transportation costs, lead times, inventory levels, and service requirements.
  • Collaborate with cross-functional teams, including commercial, operations, and finance, to align capacity planning efforts with business goals and objectives.
  • Develop and maintain capacity planning models and tools to facilitate scenario analysis and decision-making.
  • Monitor key performance indicators (KPIs) related to logistics capacity and network performance and identify opportunities for improvement.
  • Lead projects to implement capacity expansion initiatives, such as warehouse expansions, transportation fleet upgrades, or network reconfigurations.
  • Conduct regular reviews and audits of logistics capacity and network performance to ensure alignment with business needs and objectives.
  • Stay informed about industry trends, emerging technologies, and best practices in logistics capacity planning and network modeling.
  • Provide guidance and support to logistics team members on capacity planning processes, tools, and methodologies.
Required Experience and Skills
  • Completed Bachelor's degree in Finance, Supply Chain Management or Statistics or equivalent broad training and experience.
  • Advanced or Fluent Level of English
  • Logistics Experience:
    • Experience in logistics operations, with a solid understanding of transportation, warehousing, and distribution processes to inform network optimization strategies.
    • Experience designing and optimizing logistics networks, considering various factors such as costs, lead times, and service requirements.
  • Capacity Planning:
    • Experience in capacity planning within logistics, including forecasting demand and optimizing resources to accommodate growth efficiently.
    • Experience conducting detailed analysis of logistics capacity and network performance, interpreting data to identify optimization opportunities.
    • Advanced modeling techniques and simulation tools to forecast future demand and evaluate logistics capacity.
  • Network Modeling:
    • Experience doing network modeling, utilizing tools and techniques to design agile and cost-effective logistics networks.
  • Team Collaboration and Interpersonal Skills:
    • Experience collaborating effectively with teams across departments to align capacity planning efforts with business goals and objectives.
Equal Opportunity Statement

Ball Corporation is proud to be an Equal Opportunity Employer. We actively encourage applications from everybody. All qualified job applicants will receive consideration without regard to race, color, religion, creed, national origin, aboriginality, genetic information, ancestry, marital status, sex, sexual orientation, gender identity or expression, physical or mental disability, pregnancy, veteran status, age, political affiliation or any other non-merit characteristic.

When you join Ball you belong to a team of over 16,000 members worldwide. Our products range from infinitely recyclable aluminum cans and cups to aerosol bottles that enable our customers to contribute to a better world. Each of us has a deep commitment to diversity and inclusion which is the foundation of our culture of belonging. Everyone at Ball is making a difference by doing what we love. Because what we create may change, but what we will always make is a difference.

Please note the advertised job title might vary from the job title on the contract due to local job title structure and global HR systems. No agencies please.

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