Product Manager, Services Data Science & Analytics
Culver, CA - USA
Job Summary
As a Product Manager on the Data Applications team you will own products that turn Apple Services data into answers our stakeholders can trust. You will 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 products are increasingly AI-native. You will 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. You will 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
You will 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 time you will help shape how the Services Data Science u0026 Analytics organization thinks about the intersection of data design and AI defining where our products go as our AI capabilities mature and as more of the analytics experience becomes intelligent and self-service.
8 years of product management experience including shipping data analytics or platform productsnTrack record of owning product vision strategy and roadmap and delivering alongside design and engineeringnStrong user-centered design instincts turning research and feedback into clear requirements and intuitive experiencesnExperience translating complex stakeholder needs into well-executed products including for senior and executive audiencesnComfortable with data analysis and using it to make decisionsnSolid grasp of the technical concepts behind data products across frontend backend and data enough to partner deeply with engineeringnProven stakeholder management and communication skills across technical and non-technical audiencesnBS in Computer Science Engineering Information Systems or a related field or equivalent professional experience
Experience building analytics business intelligence or visualization products in a data-intensive enterprise environmentnFamiliarity with AI/ML concepts and experience shaping AI-native product experiences (conversational agentic and intelligent assistance are examples not the whole picture)nExperience with self-service analytics tooling used by non-technical stakeholdersnUnderstanding of data privacy governance and regulatory considerations in analyticsnExperience in subscription commerce or media and app platform data ecosystemsnMS in Computer Science Engineering Information Systems or a related field
Required Experience:
IC
About Company
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar ... View more