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Technical Program Manager, Enterprise Technology Services at Apple

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Aug, 26

Salary

0.0

Posted On

05 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, Data Analysis, Stakeholder Management, Cross-functional Collaboration, User Feedback Synthesis, Product Strategy, Data Visualization, SQL, Python Pandas, R, Enterprise Data Platforms, Supply Chain Systems

Industry

Computers and Electronics Manufacturing

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 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

Responsibilities

Define the vision and roadmap for data platforms that power global manufacturing operations. Collaborate with engineers and data scientists to transform complex manufacturing problems into tools for operational excellence.