About the Role

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 i Phone, i Pad, 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.

As the manager of the ISE Data Science team, you will lead and mentor a talented group of data scientists to understand customer engagement with Apple's products and features. You will oversee the team's efforts to collect, analyze, and interpret vast amounts of quantitative (telemetry) and qualitative (customer feedback) data to help improve Apple's products, inform strategic directions, and enhance the overall user experience. You will work closely with the Input Experience Analytics software engineering team to design and implement metrics for our software features, as well as the ISE User Studies team to establish a holistic picture of the user experience.

The ideal candidate for this role is an experienced manager with deep expertise in analytics and experimentation, excels at building strong cross-functional relationships to drive data-informed decisions across the company, and is skilled at leading teams to surface and communicate key data insights that improve performance and customer experience at a global scale.

Responsibilities

• 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, i PadOS, 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.

Minimum Qualifications

• 2+ years of experience managing or leading diverse teams of data scientists and/or software engineers and researchers
• Can lead teams in applying statistical analysis and inference, A/B experimentation and modeling (e.g. statistical, machine learning), to drive data-informed decisions, while maintaining hands-on proficiency in Python, SQL and Tableau
• Able to translate complex data into clear, actionable insights and recommendations for executive leadership and cross-functional stakeholders, ensuring alignment between technical findings and business objectives
• Organized, highly attentive to detail, and adaptable to rapidly changing requirements and environments

Preferred Qualifications

• 5+ years of management experience
• Experience working on consumer-facing products or shipping products
• Experience using AI tools for text or image creation and editing (e.g. ChatGPT, Gemini, Apple Intelligence), and/or AI models for data analysis, synthesis, or evaluation workflows
• Advanced degree in data science, engineering, or any related field of study

Equal Opportunity

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.