below marketmost similar roles pay hereabove market
This role pays more than
62%
of similar roles. Most pay
$182,200–$243,600
— the blue band above.
At the midpoint, this role pays about
$220k
versus about
$213k
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
3546 open roles
on FindRole.
Listed pay typically runs
$166,600–$277,600
across 2746 roles with salary data.
The Engineering Program Manager, Services Data Science & Analytics joins the Services Data Science & Analytics organization to manage a portfolio of technical, data science, and engineering projects. This role involves driving delivery across a complex organization by developing processes, tracking schedules, and removing roadblocks for teams including Data Science, Business Intelligence, Data Engineering, Product, and Engineering. The successful candidate will own analytics initiatives to ensure the delivery of scalable, privacy-friendly data and insights while refining PMO tooling and automation. Key requirements include expertise in data science workflows, Big Data, data governance, and AI. Candidates must demonstrate proficiency with tools such as GitHub, JIRA, Zenhub, Asana, Wrike, Keynote, Claude, and ChatGPT to solve complex problems regarding data privacy and analytics growth.
What does a Engineering Program Manager earn in California?
Median $219650 from 63 postings across 3 companies.
Own a portfolio of analytics initiatives to deliver scalable and privacy-friendly data insights.
Drive complex project plans including scope, requirements, timelines, resource allocation, and risk mitigation.
Track the status of multiple concurrent projects across engineering, data science, and product teams.
Refine and scale PMO processes, tooling, and automation for the Services Data Science & Analytics organization.
Remove roadblocks and set clear expectations for cross-functional project partners.
Ensure all data initiatives comply with strict privacy and data governance standards.
Communicate project updates and escalations clearly to both technical teams and leadership.
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).
Data Engineering
Big Data
Agile
Scrum
Sprints
Data Analytics
Software Development
Automation
Information Security
Privacy Engineering
Quality Assurance
Digital Marketing Technologies
Data Engineering
Big Data
Data Analytics
Agile
Data Pipelines
Project Management
Sprint Coordination
Information Security
Privacy
QA
Data Science
Information Systems