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Product Manager,
 Manufacturing Data & Analytics, Enterprise Technology Services

Apple
Posted 5 days ago, valid for 17 days
Location

Elk Grove, CA 95759, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Join the ETS Insight team to build the data platform that supports Apple's global manufacturing operations.
  • The role requires a minimum of 5 years of experience in product management and a Bachelor's degree in a related field.
  • As a product manager, you will define the vision and roadmap for data platforms while collaborating with engineers and data scientists.
  • Strong analytical and communication skills are essential for presenting product strategies to stakeholders at all levels.
  • Salary details are not provided in the job description.
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 5+ years of experience in product management Strong analytical skills with the ability to use data to drive product decisions Excellent communication skills and ability to present product strategy and rationale to stakeholders at all levels Experience collaborating with cross-functional teams including engineers, designers, and data scientists Experience gathering and synthesizing user feedback to inform product direction Proven track record of owning and delivering complex products end-to-end, from strategy through execution 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



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