Engineering Program Manager, Services Data Science & Analytics

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