Engineering Program Manager, Analytics Data Engineering, Commerce & Billings, Apple Services Engineering

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $166,600–$296,000 / yr
Posted: 44 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $229k

This role $231k

$151k most similar roles pay here $312k

This role pays more than 55% of similar roles. Most pay $202,800–$254,750 — the shaded band above. At the midpoint, this role pays about $231k versus about $229k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

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At a glance

TL;DR · Engineering Program Manager, Analytics Data Engineering, Commerce & Billings, Apple Services Engineering

Role Posting Log in to save

The Engineering Program Manager, Analytics Data Engineering, Commerce & Billings, Apple Services Engineering joins the Apple Services Engineering team to manage the data engineering track for creating and enhancing data pipelines within the commerce business area. This role involves managing complex projects involving scope, requirements, timelines, roadmaps, resource allocation, and risk assessments while coordinating with cross-functional teams including Engineering, Analytics, Production Support, QA, Information Security, and Privacy. The position focuses on building large-scale data capabilities to support subscriptions and billings infrastructure. Candidates must possess project management experience in big data engineering or analytics environments, familiarity with Agile methodologies, and a conceptual understanding of big data technologies. Essential skills include strong communication, stakeholder alignment, and the ability to manage high-quality datasets while navigating strict privacy standards within the commerce and customer lifecycle data ecosystems.

Skills

Data Engineering Big Data Agile Data Pipelines Analytics Engineering Project Management Program Management Data Analytics QA Information Security Privacy Risk Management Sprint Coordination

What you'll do

Manage the data engineering track for creating and enhancing data pipelines for Subscriptions and Billings.
Track concurrent projects including scope, requirements, timelines, roadmaps, resource allocation, and risk assessments.
Coordinate engineering sprints and manage project plans across multiple cross-functional teams.
Collaborate with Engineering, Analytics, QA, Information Security, and Privacy teams to build data products.
Drive complex, cross-functional project plans independently in a fast-paced environment.
Communicate project status and requirements effectively to stakeholders at all levels of the organization.

What we're looking for

6+ years of project management experience in a large-scale data engineering or analytics environment.
Strong familiarity with Agile methodologies and cross-functional program management.
Familiarity with big data technologies and modern data engineering concepts.
Experience managing complex projects involving scope, roadmaps, resource allocation, and risk assessments.
Exceptional verbal and written communication skills for presenting to all levels of the organization.
Preferred experience in commerce, subscriptions, or customer lifecycle data ecosystems.
A BS in Information Systems, Data Science, Computer Science, Business, Engineering, or equivalent industry experience.
Ability to drive complex project plans independently in a fast-paced environment.

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