Engineering PM for 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

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,