Product Manager, Services Data Science & Analytics

Apple Apple · Big Tech · Culver City, CA +2 · Software and Services

Product Manager for Apple Services Data Science & Analytics, focusing on building AI-native data products that turn complex data into answers for stakeholders. The role involves owning product vision, strategy, and roadmap for products that are increasingly AI-native, shaping intelligent and context-aware experiences, and translating stakeholder needs into reliable and useful products. The position emphasizes collaboration with cross-functional teams and shaping the future of AI in analytics.

What you'd actually do

  1. Own products that turn Apple Services data into answers our stakeholders can trust.
  2. Set product direction, partner closely with design and engineering, and be accountable for the quality, reliability, and business impact of what reaches product, business, and executive partners across the organization.
  3. Shape how people get answers, where intelligent, context-aware experiences understand intent and do more of the work, and where a well-built report or a simpler path serves people better.
  4. Translate complex, often time-sensitive needs from across the organization into products that are clear, reliable, and genuinely useful, without requiring people to be data experts to benefit from them.
  5. Collaborate closely with cross-functional leaders across product, design, engineering, and business teams, bringing clarity to ambiguous problems and keeping the work tied to real outcomes.

Skills

Required

  • 8+ years of product management experience, including shipping data, analytics, or platform products
  • Track record of owning product vision, strategy, and roadmap, and delivering alongside design and engineering
  • Strong user-centered design instincts, turning research and feedback into clear requirements and intuitive experiences
  • Experience translating complex stakeholder needs into well-executed products, including for senior and executive audiences
  • Comfortable with data analysis and using it to make decisions
  • Solid grasp of the technical concepts behind data products across frontend, backend, and data, enough to partner deeply with engineering
  • Proven stakeholder management and communication skills across technical and non-technical audiences
  • BS in Computer Science, Engineering, Information Systems, or a related field, or equivalent professional experience

Nice to have

  • Experience building analytics, business intelligence, or visualization products in a data-intensive enterprise environment
  • Familiarity with AI/ML concepts and experience shaping AI-native product experiences (conversational, agentic, and intelligent assistance are examples, not the whole picture)
  • Experience with self-service analytics tooling used by non-technical stakeholders
  • Understanding of data privacy, governance, and regulatory considerations in analytics
  • Experience in subscription, commerce, or media and app platform data ecosystems
  • MS in Computer Science, Engineering, Information Systems, or a related field

What the JD emphasized

  • AI-native data products
  • intelligent, context-aware experiences
  • AI capabilities mature

Other signals

  • AI-native data products
  • intelligent, context-aware experiences
  • shape how people get answers
  • analytics organization thinks about the intersection of data, design, and AI