SME Program Manager Automation , Quick Commerce

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.

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

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.

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.

• 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

• 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

Our inclusive culture empowers Amazonians to deliver the best results for our customers.

If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

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