Engineering Program Manager, Services Data Science & Analytics

Apple, Inc.; Culver City (CA); On-site; USD 167,000 - 251,000; Full time

Job summary

Apple, Inc. is seeking an Engineering Program Manager for Services Data Science & Analytics in Culver City, CA.

You will manage a portfolio of analytics projects across a large organization, building plans, tracking schedules, and removing roadblocks while partnering with Data Science, BI, Data Eng, Product, and Engineering teams. You will drive delivery with a strong emphasis on privacy, governance, and data-driven decision making, coordinating multiple teams and delivering scalable,

Qualifications

• 5+ years of hands-on program management in analytics/AI projects.
• Deep expertise in data science workflows and data engineering concepts.
• Strong organizational skills with multiple projects in fast-changing environments.
• Exceptional written/spoken communication and facilitation skills.
• Experience with PM tools such as GitHub, JIRA, Zenhub, Asana, Wrike, or equivalents.

Responsibilities

• Own a portfolio of analytics initiatives across services with cross‑functional partners.
• Lead complex project plans, track scope, timelines, milestones, risks and resources.
• Contribute to PMO evolution by refining processes, tooling, and automation.
• Demonstrate leadership, clear communications, and ownership across teams.

Skills

Program management

Data analytics

Cross-functional leadership

Attention to detail

Communication

Education

BS in Information Systems

BS in Data Science

BS in Computer Science

BS in Engineering

Tools

GitHub

JIRA

Zenhub

Asana

Wrike

Keynote

Claude

ChatGPT

Job description

Engineering Program Manager, Services Data Science & Analytics

Culver City, California, United States Software and Services

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.

Description

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.

Responsibilities

• Own a portfolio of analytics initiatives for a given service (or services), collaborating with Data Science, Business Intelligence, Data Engineering, Product, Engineering, QA, Legal, and other teams to ensure delivery of scalable, privacy-friendly data and insights.
• Drive complex, cross-functional, and comprehensive project plans independently, tracking multiple concurrent projects including scope, requirements, timelines, roadmaps, project plans, resource allocation, stakeholder management, communications, and risk mitigation, both within the team and with multiple project partners.
• Meaningfully contribute to the evolution of the Services Data Science & Analytics PMO by refining and scaling processes, tooling, and automation.
• Demonstrate leadership through exceptional verbal and written communication, taking ownership of work with thoroughness and thoughtfulness, exhibiting tact in attention to key details, escalations, and communications, and motivating and inspiring project teams and colleagues.

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

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 $166,600 and $250,700, 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.

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 EOO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.