Long-Term Topology Planning, Last Mile Growth

Amazon is hiring a Long-Term Topology Planning, Last Mile Growth in Mexico City, Mexico. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.
Posted within the past week.

AI in this role

At Amazon, we're working to be the world's most customer-centric company, where people can find and discover just about anything they want to buy online. Our Supply Chain is essential to make this happen, ensuring the best experience while also guiding the operations to process as efficiently as possible.

Amazon Logistics (AMZL) Topology Planning is looking for a Long-Term Supply Chain Planner for Mexico, who has experience in analytical skills, supply chain knowledge, and technology experience to join our team.
In this position, the individual will support mid to long term topology strategy, short and long term build plan management, and topology optimization tools for AMZL delivery stations planning. This position requires working with multiple stakeholders across various supply chain functions like Transportation, Volume Planning, Capacity Planning, Operations, Real Estate, Design Engineering, Launch Planning, among others.
This role is high visibility, requiring regular interaction with senior leadership team and involves critical decision making.
In this position, the individual also develops and implements ideas to drive continuous improvement of existing processes and of strategic expansions ideas across Mexico Network, infuse AI in daily workstreams to improve productivity, and work on automation and tool development with key stakeholders.

Availability to work From Monday to Friday on a 5 day schedule.
This role is not a remote position, attendance on site is required.

Key job responsibilities
- Improve topology optimization engine/tools used on a daily/weekly basis for greater accuracy and productivity
- Perform data analysis and utilize problem-solving skills to work through difficult challenge
- Create dashboards to report data to leadership
- Work with multiple stakeholders (10 to 12) across various supply chain functions like outbound transportation, engineering, launch, operations, sales and operation planning to successfully deliver strategic planning projects
- Develop and implement ideas to drive continuous improvement by simplifying the process, creating added value, and driving automation.
- Identify opportunities and influence organizations to gain support and overcome resistance with data and persuasion
- Communicate expectations and requirements equally well with business and technology teams
- Write well-reasoned and data-driven proposals

Basic qualifications

- 3+ years of working cross functionally with tech and non-tech teams experience
- 3+ years of defining and implementing process improvement initiatives using data and metrics experience
- Experience in analyzing data to drive decisions
- Experience using data and metrics to determine and drive improvements
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Bachelor's degree
- Speak, write, and read fluently in Spanish
- Speak, write, and read fluently in English

Preferred qualifications

- 3+ years of driving end to end delivery, and communicating results to senior leadership experience
- 3+ years of driving process improvements experience
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience building processes, project management, and schedules
- 3+ years of program or project management experience

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How we rate this

Long-Term Topology Planning, Last Mile Growth at Amazon rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.