Engineering Program Manager, Analytics Data Engineering, Commerce & Billings, Apple Services Engineering
Apple· Consumer Technology· Jul 28, 2026 · 3mo agoPosted 91 days ago
Seattle, Washington, United States
In office
Full-time
Senior
$167K–$296K
6+ years exp
Before you apply
Ghost Signal:
Open since July 28, 2026 — 91 days, and still accepting applications.
Job description
This Commerce Engineering Program Manager will operate in a multi-functional role within a fast-paced, data-focused environment. You’ll collaborate with small, highly skilled data engineering teams and partner groups to develop large-scale data capabilities and solutions to support Apple Services Engineering feature initiatives and deliver high-quality datasets and analytical outcomes. In this role, you’ll often juggle multiple complex projects at once, balancing shifting priorities while keeping teams aligned and moving forward. Because our work touches sensitive customer and business data, a deep respect for privacy and a commitment to Apple’s industry-leading privacy standards are essential. Successful candidates should bring strong program and project management skills, exceptional communication abilities, and a belief in the power of data-driven results.
* Project manage and partner with other EPMs to manage the data engineering track for creating and enhancing data pipelines that support the Analytics Engineering space for Subscriptions & Billings Aggregate, within Apple’s Commerce business area.
* Track multiple concurrent projects including scope, requirements, timelines, roadmaps, project plans, resource allocation, stakeholder management, communications, engineering sprint coordination, and risk assessments, both within the team and with multiple project partners
* Collaborate with Engineering, Analytics, Production Support, QA, Information Security, Privacy, and other organizations to build and manage products to support Apple Services Engineering data pipelines.
6+ years of project management experience, specifically within a large-scale data engineering or analytics environment
Project Management: Strong familiarity with Agile methodologies, Proven success driving cross-functional programs across engineering and other teams within a fast-paced environment, Excellent communication, risk management, and stakeholder-alignment skills, Comfortable diving deep to understand processes, systems, and policies to ensure high-quality solutions
Technical Skillset: Familiarity with big data technologies and modern data engineering concepts
BS in Information Systems, Data Science, Computer Science, Business, or Engineering majors preferred or relevant and equivalent industry experience including Data analytics experience with business acumen and data comprehension
Program management in big data engineering
Conceptual understanding of big data engineering and data analytics
Data and analytics project management experience
Experience with commerce, subscriptions, and/or customer lifecycle data ecosystems
Leadership and gravitas to drive conversations with analytics stakeholders
Ability to deliver high-quality results while working in a dynamic and fast-paced environment
Process-oriented and detail-oriented approach
Understanding of agile project management methodologies
Strong facilitation skills to drive a complex, cross-functional, and comprehensive project plan independently
Exceptional verbal and written communication, including presentation skills to all levels of an organization
Aptitude and willingness to learn along with proactive attitude and energy
Application prep
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Keywords to mirror
agile
- Platform
- apple
- Effort
- medium