Engineering PM: Analytics & Data Pipeline Leader

Socket.dev; Seattle (WA); On-site; USD 140,000 - 180,000; Full time

Job summary

Apple is seeking a Commerce/Analytics Engineering Program Manager to lead data engineering initiatives for the Subscriptions & Billings space within Apple Services Engineering. You will partner with small, skilled data teams to deliver large-scale data capabilities and high-quality datasets while balancing multiple projects and ensuring privacy standards.

The role requires strong program management, exceptional communication, and the ability to drive data-driven results in a fast-paced

Qualifications

• 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.
• Excellent communication, risk management, and stakeholder alignment skills.
• Ability to dive deep into processes, systems, and data policies to ensure high-quality solutions.
• Familiarity with big data technologies and modern data engineering concepts.

Responsibilities

• Project manage data pipelines and analytics initiatives to support Apple Services Engineering data initiatives (Subscriptions & Billings).
• Track multiple concurrent projects including scope, timelines, roadmaps, resource allocation, and risk management; coordinate with partners across teams.
• Collaborate with Engineering, Analytics, Production Support, Security, Privacy, and other organizations to build and manage data products.

Skills

Project management

Agile methodologies

Communication

Risk management

Stakeholder alignment

Big data

Education

BS in Information Systems

BS in Data Science

BS in Computer Science

Job description

Apple is seeking a Commerce/Analytics Engineering Program Manager to lead data engineering initiatives for the Subscriptions & Billings space within Apple Services Engineering. You will partner with small, skilled data teams to deliver large-scale data capabilities and high-quality datasets while balancing multiple projects and ensuring privacy standards.

The role requires strong program management, exceptional communication, and the ability to drive data-driven results in a fast-paced