Job Details

Job Information

Product Manager, Manufacturing Data & Analytics, Enterprise Technology Services
AWM-6309-Technical Program Manager, Enterprise Technology Services
5/10/2026
5/15/2026
Negotiable
Permanent

Other Information

www.apple.com
Austin, TX, 78703, USA
Austin
Texas
United States
78703

Job Description

No Video Available
 

Weekly Hours: 40

Role Number: 200659503-0157

Summary

Join the ETS Insight team and help build the data platform that powers Apple's global manufacturing operations. We help teams within Apple collect, analyze, and visualize manufacturing and supply chain data for every iPhone, iPad, Mac, etc. produced worldwide. Our petabyte-scale systems provide critical insights that engineering and operations teams use to build Apple's next great product.

Description

As a product manager on our team, you'll define the vision and roadmap for our data platforms and collaborate closely with engineers, data scientists, and manufacturing experts to transform complex manufacturing problems into powerful tools that drive operational excellence across Apple's global supply chain.

Minimum Qualifications

  • Bachelor's degree in a related field, or equivalent professional experience

  • 2+ years of experience in product management, product ownership, or a related role

  • Strong analytical skills with the ability to use data to drive product decisions

  • Strong communication skills and ability to present product strategy and rationale to stakeholders

  • Experience working collaboratively with engineers, designers, and other cross-functional partners

  • Experience gathering and synthesizing user feedback to inform product direction

  • Experience influencing without authority and driving alignment across multiple teams and stakeholders

Preferred Qualifications

  • Advanced degree in a relevant field

  • Experience working with enterprise data platforms, analytics tools, or supply chain systems

  • Familiarity with data visualization concepts and tools (Tableau, Observable, etc.)

  • Familiarity with statistical analysis and data manipulation tools (SQL, Python pandas, R, etc.)

  • Experience in the manufacturing domain

Other Details

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