Engineering Program Manager, Services Data Science & Analytics

Apple Inc

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Culver City, CA
Salary
$166,600–$250,700 / yr
Posted
5 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $218k
This role $209k
$155k $275k
below market most similar roles pay here above market

This role pays less than 51% of similar roles. Most pay $193,000–$243,600 — the blue band above. At the midpoint, this role pays about $209k versus about $218k 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 3564 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2760 roles with salary data.

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At a glance

TL;DR · Engineering Program Manager, Services Data Science & Analytics

The Engineering Program Manager, Services Data Science & Analytics joins the Services Data Science & Analytics organization to manage a portfolio of analytics projects. This role involves driving the delivery of technical, data science, and engineering projects across a complex organization by developing processes, tracking schedules, and removing roadblocks. You will own analytics initiatives for specific services, collaborating with Data Science, Business Intelligence, Data Engineering, Product, Engineering, QA, and Legal teams to ensure the delivery of scalable, privacy-friendly data and insights. Key responsibilities include refining PMO processes and managing project plans, requirements, and risk mitigation. Required skills include expertise in data science workflows, Big Data, data governance, and AI. You must be proficient with tools such as GitHub, JIRA, Zenhub, Asana, Wrike, Keynote, Claude, and ChatGPT.

What does a Engineering Program Manager earn?

Median $208650 from 78 postings across 5 companies.

See salary data

What you'll do

  • Own a portfolio of analytics initiatives to ensure delivery of scalable and privacy-friendly data insights.
  • Drive complex, cross-functional project plans including scope, requirements, timelines, and resource allocation.
  • Track multiple concurrent projects while managing risks and stakeholder communications across dozens of teams.
  • Refine and scale PMO processes, tooling, and automation for the Services Data Science & Analytics organization.
  • Remove roadblocks for project teams to ensure the timely delivery of technical and data science projects.
  • Ensure all data initiatives comply with strict privacy standards and data governance principles.
  • Facilitate communications and presentations to align engineering, product, and leadership teams on project goals.

What we're looking for

  • 5+ years of hands-on program management experience 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.
  • BS in Information Systems, Data Science, Computer Science, Business, or Engineering preferred, or relevant and equivalent industry experience (preferred).
  • Familiarity with data governance, data privacy, licensing, or responsible AI principles (preferred).

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