Product Manager, Manufacturing Data & Analytics, Enterprise Technology Services
Apple
Product, IT, Data Science
Austin, TX, USA
Posted on May 6, 2026
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.
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.
- Work closely with manufacturing teams and stakeholders to deeply understand their daily workflows and identify opportunities to solve their most critical problems
- Define and prioritize product roadmaps that balance user needs, technical constraints, and business impact across our platforms
- Partner with design and engineering teams to translate requirements into well-scoped features, ensuring alignment on goals and successful delivery
- Establish clear success metrics and use data to evaluate product performance, inform decisions, and continuously improve our platforms
- Communicate product strategy, progress, and outcomes to stakeholders across engineering, operations, and leadership
- 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
- 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