About this role
Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, fun games and more. The Services Data Science & Analytics organization develops insights and machine learning solutions to help continually improve these Services and accelerate growth while maintaining a strong dedication to customer privacy, and is seeking a self-starting Engineering Program Manager to manage a portfolio of analytics projects.
The Services Data Science & Analytics Engineering Program Manager (EPM) will drive delivery of a portfolio of technical, data science, and engineering projects across a complex organization. You will develop processes, track schedules and status, and act as a catalyst for your teams, building plans, setting expectations, and removing roadblocks while cultivating relationships across dozens of teams from engineering to leadership. Given the sensitive data involved, a strong commitment to privacy is essential, alongside seasoned program management skills and a belief in data-driven results.
Minimum Qualifications
7+ years of hands-on program management experience, specifically with initiatives involving analytics, Big Data, data governance, AI, and/or data engineering
Deep expertise in data science and analytics workflows and/or data engineering concepts
Excellent organizational skills with acute attention to detail and the ability to manage multiple projects in a fast-changing environment
Demonstrated ability to communicate extraordinarily well, with strong facilitation and presentation skills and a knack for fostering positive relationships
Proficiency with project management, code management, and AI tools such as GitHub, JIRA, Zenhub, Asana, Wrike, Keynote, Claude, ChatGPT, or equivalents
Proven experience operating with natural accountability, self-motivation, curiosity, flexibility, and a dedicated problem-solving mindset
Preferred Qualifications
•BS in Information Systems, Data Science, Computer Science, Business, or Engineering preferred, or relevant and equivalent industry experience including data analytics experience with business acumen and data comprehension
Familiarity with data governance, data privacy, licensing, or responsible AI principles