Product Manager, Manufacturing Data & Analytics, Enterprise Technology Services

Product Manager, Manufacturing Data & Analytics, Enterprise Technology Services

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.

Responsibilities

• 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

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

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $182,900 and $274,900, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.