Engineering Program Manager, Services Data Science & Analytics

Role Overview

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.

Responsibilities

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.

Requirements & Qualifications

Minimum Qualifications

5+ 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

Compensation & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,500 and $263,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Application Instructions

Apply directly on Apple Jobs at Engineering Program Manager, Services Data Science & Analytics↗.

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