SME Program Manager Automation , Quick Commerce

Amazon is hiring an SME Program Manager Automation , Quick Commerce in Dubai, United Arab Emirates. Level rates it ; you can apply on Amazon.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.
The role was posted within the past week.

AI in this role

Join our team to transform warehouse operations through automation and data-driven innovation. You'll design and implement cutting-edge solutions that optimize efficiency, reduce costs, and enhance our operational capabilities at scale.

Technical Skills Required:

Strong proficiency in Python programming and SQL
Experience with data science and machine learning techniques
Ability to develop and maintain ETL pipelines
Expertise in data visualization tools (Tableau, Power BI, etc.)
Understanding of warehouse management systems and supply chain technologies
Experience with cloud computing platforms (AWS preferred)
Ability to translate business requirements into technical solutions
Strong analytical and problem-solving skills
Experience in process optimization and automation

Key job responsibilities
- Develop and deploy automation tools and generative AI initiatives that enhance operational efficiency across fulfillment facilities
- Design data-driven solutions by analyzing complex datasets to identify optimization opportunities and build predictive models for capacity planning
- Create and maintain dashboards and reporting systems that provide visibility into key operational metrics and support decision-making
- Collaborate with cross-functional stakeholders to translate business requirements into technical solutions and manage end-to-end implementation of technology projects
- Drive continuous process improvements through technical innovation, identifying opportunities where automation and data analysis can deliver measurable impact

A day in the life
As a Program Manager, Automation, you'll focus on developing automation tools and generative AI initiatives that streamline our fulfillment operations. Your day might include analyzing operational datasets to uncover optimization opportunities, collaborating with warehouse teams to understand their challenges, and building predictive models that improve capacity planning. You'll work across multiple projects - perhaps designing a new dashboard to track real-time operational metrics in the morning, then meeting with stakeholders to translate their business needs into technical requirements by afternoon. You'll also contribute to process improvement initiatives by identifying where automation can have the greatest impact, working closely with operations and engineering teams to bring these solutions to life.

About the team
We're a collaborative group focused on modernizing how fulfillment operations function through technology and data science. Our team partners closely with warehouse operations, supply chain, and engineering to solve complex operational challenges. We're committed to building solutions that make a tangible difference in how efficiently our facilities operate and how our teams work. As we continue to scale our operations globally, we're looking for someone who shares our passion for using data and automation to drive meaningful improvements. You'll work alongside data experts, engineers, and operations leaders who are excited about leveraging emerging technologies to reshape what's possible in warehouse management.

Basic qualifications

- 3+ years of data visualization and reports tools experience
- 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
- Bachelor's degree
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Experience defining program requirements and using data and metrics to determine improvements

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

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How we rate this

SME Program Manager Automation , Quick Commerce at Amazon rates 10 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.