Apple’s Intelligent System Experience (ISE) group builds intelligent software products and experiences on platforms that are used by millions of users around the world every single day. The ISE Data Science team works across products and platforms to translate vast amounts of metrics about software feature usage on iPhone, iPad, and Mac into actionable insights for our leadership in Engineering, Design, and Product Marketing teams. As Apple Intelligence features such as Writing Tools, Smart Reply, and Genmoji evolve, data has become increasingly central to how we understand the user experience, inform product strategy, and evaluate new machine-learning systems in a timely fashion.

Synthesize quantitative and qualitative data from multiple sources across Apple and guide the data scientists to translate this data into actionable insights and business strategy, driving scalable, high-impact outcomes for iOS, iPadOS, and macOS features, including multi-platform Apple Intelligence features.

Deliver accurate and timely data and business analytics to stakeholders in order to meet mission- and business-critical requests.

Lead the development and implementation of robust monitoring, alerting, and health checking systems to ensure sustained data and machine learning model performance at scale.

Through continuous process improvement, proactively seek ways to improve existing data pipelines, reduce data storage loads, and identify opportunities for feature performance improvements.

Present and oversee communications of data analysis and insights to key stakeholders. Model and teach effective data storytelling, communicating compelling data-driven narratives without compromising analytical rigor.

Partner with cross-functional leaders to align data and analytics initiatives with strategic objectives.

Foster a data-informed culture by sharing data science best practices across Apple. Mentor and coach data scientists on technical best practices and professional development.