Would you like to drive the future of Apple’s products, applications, and platform while having the unique opportunity to impact some of the most far-reaching software in the world?

The Apple Services Engineering (ASE) organization owns the development and innovation on Apple’s cloud-centric products and experiences for users all over the world, including iCloud+, Photos, Mail, Messages, FaceTime, Calendar, Notes, etc. We are the foundation on which Apple’s software developers build the products that our customers love. Our multi-disciplinary data team plays a fundamental role in this mission by partnering closely with product, engineering, and business teams to develop a culture of leveraging data to inform and shape our strategy.

We are looking for an accomplished data science and analytics leader, who has experience managing a team of individual contributors with a diverse range of skills — spanning product analytics, exploratory analyses, experimentation, modeled causal inference, and reporting. Across all methods and skills, the overarching goal is always to improve decision-making for iCloud through the use of data.

This role partners closely with business and product teams across ASE. We’re looking for someone who has:

– Experience hiring and leading high-caliber, data-focused teams with diverse technical backgrounds;

– Experience partnering with business, product and engineering teams to define project roadmaps and integrate metrics and analytics into the broader engineering plans;

– The willingness and ability to get hands-on with the data, driving projects forward and unblocking the team when necessary;

– A track record of applying statistics and experimentation to business areas, and influencing product decisions;

– The ability to autonomously identify opportunities and investment areas for the larger iCloud Data organization, that lead to better outcomes for iCloud;

– Experience building and fostering an inclusive team culture.

3+ years in a leadership role for a data science team.8+ years in a data science or analytics organization.High tolerance for ambiguity. Able to find a way through, anticipate, connect and synthesize.Excellent verbal and written communications skills and experience communicating technical concepts to senior executive audiences in order to influence decisions with data.Ability to think about data in terms of statistical distributions and have a big enough analytics toolbox (e.g. Statistics, Machine Learning) to know how to find patterns in data, identify targets for performance, and identify sources of variance about those targets.Self-motivated and curious with demonstrated creative and critical thinking capabilities, and an innate drive to improve how things work.Strong work ethic and attention to detail.