Production Planning Analyst II, NACF Planning
Amazon.com
Join us in revolutionizing labor planning for Amazon's innovative fulfillment centers. As we develop a new type of facility across our North America Customer Fulfillment Network (NACF), we're seeking leaders to architect the future of workforce optimization. These new centers are designed to solve a complex challenge: ensuring customer packages are positioned as close as possible to their final destinations, dramatically improving delivery speed and efficiency.
Our Production Planning Team (PPT) is at the forefront of implementing solutions that combine advanced modeling, machine learning, and predictive analytics to create the most effective labor planning systems for these strategically located facilities. This new fulfillment center model requires a complete rethinking of our workforce approach, balancing proximity to customers with operational efficiency.
This is your opportunity to shape how Amazon approaches workforce planning in these critical, proximity-focused facilities. We're developing innovative frameworks that will become the standard for the industry, optimizing our labor force to manage a dynamic inventory that's constantly shifting to meet local demand patterns.
We're seeking analytical minds who can translate complex logistical data into actionable workforce strategies at scale, and build robust labor plans. This high-visibility role will directly influence how we staff and operate our newest fulfillment centers, ensuring we maintain Amazon's customer-centric promise while pushing the boundaries of last-mile delivery optimization.
As a pioneer in this space, you'll help design and implement the systems that will define the future of customer-proximate fulfillment operations, making a lasting impact on Amazon's evolving network and setting new standards for rapid, efficient delivery.
Key job responsibilities
- Work with FC and Manage Regional leadership processes
- Build the foundation and implement an innovative model for centralized labor planning across NACF.
- Deliver action plans for senior managers and directors, while being a trusted partner to these network leaders.
- Leverage central teams (i.e. S&OP, Central Flow, Process Engineering) to drive process and operations execution improvements.
- Use data and bias for action to work through ambiguity and deliver results.
Our Production Planning Team (PPT) is at the forefront of implementing solutions that combine advanced modeling, machine learning, and predictive analytics to create the most effective labor planning systems for these strategically located facilities. This new fulfillment center model requires a complete rethinking of our workforce approach, balancing proximity to customers with operational efficiency.
This is your opportunity to shape how Amazon approaches workforce planning in these critical, proximity-focused facilities. We're developing innovative frameworks that will become the standard for the industry, optimizing our labor force to manage a dynamic inventory that's constantly shifting to meet local demand patterns.
We're seeking analytical minds who can translate complex logistical data into actionable workforce strategies at scale, and build robust labor plans. This high-visibility role will directly influence how we staff and operate our newest fulfillment centers, ensuring we maintain Amazon's customer-centric promise while pushing the boundaries of last-mile delivery optimization.
As a pioneer in this space, you'll help design and implement the systems that will define the future of customer-proximate fulfillment operations, making a lasting impact on Amazon's evolving network and setting new standards for rapid, efficient delivery.
Key job responsibilities
- Work with FC and Manage Regional leadership processes
- Build the foundation and implement an innovative model for centralized labor planning across NACF.
- Deliver action plans for senior managers and directors, while being a trusted partner to these network leaders.
- Leverage central teams (i.e. S&OP, Central Flow, Process Engineering) to drive process and operations execution improvements.
- Use data and bias for action to work through ambiguity and deliver results.
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