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

The Apple Services Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the subscriptions and billings infrastructure for App Store, Music, Video, TV+ and Podcast. They do it on a massive scale, meeting Apple's high expectations and high performance in more than 150 countries-Apple Services Engineering Program Managers partner with engineers who build secure, end-to-end solutions. Thanks to Apple's unique hardware, software, and services integration, engineers and program managers are partners in achieving a unified vision. That vision always includes a deep commitment to strengthening Apple's privacy policy, one of Apple's core values. Although services are a more significant part of Apple's business than ever, these teams remain small, agile, and cross-functional, offering more significant exposure to the array of opportunities here. Data and analytics engineering play a pivotal role in this environment, enabling the team to harness vast amounts of data to drive informed decision-making and innovative solutions. By leveraging cutting-edge analytics, these teams ensure that our services operate efficiently and continue to meet the evolving needs of Apple's global customer base. This Commerce Engineering Program Manager will operate in a multi-functional role within a fast-paced, data-focused environment. You'll collaborate with small, highly skilled data engineering teams and partner groups to develop large-scale data capabilities and solutions to support Apple Services Engineering feature initiatives and deliver high-quality datasets and analytical outcomes. In this role, you'll often juggle multiple complex projects at once, balancing shifting priorities while keeping teams aligned and moving forward. Because our work touches sensitive customer and business data, a deep respect for privacy and a commitment to Apple's industry-leading privacy standards are essential. Successful candidates should bring strong program and project management skills, exceptional communication abilities, and a belief in the power of data-driven results.

• Project manage and partner with other EPMs to manage the data engineering track for creating and enhancing data pipelines that support the Analytics Engineering space for Subscriptions & Billings Aggregate, within Apple's Commerce business area.
• Track multiple concurrent projects including scope, requirements, timelines, roadmaps, project plans, resource allocation, stakeholder management, communications, engineering sprint coordination, and risk assessments, both within the team and with multiple project partners
• Collaborate with Engineering, Analytics, Production Support, QA, Information Security, Privacy, and other organizations to build and manage products to support Apple Services Engineering data pipelines.Project manage and partner with other EPMs to coordinate the data engineering track for creating and enhancing data pipelines that support the Analytics Engineering space for Subscriptions within Apple's Commerce business area Track multiple concurrent projects involving scope, requirements, timelines, roadmaps, project plans, resource allocation, stakeholder management, communications, engineering sprint coordination, and risk assessments Collaborate with Engineering, Analytics, Production Support, QA, Information Security, Privacy, and other teams to build and manage products to support Apple Services Engineering data pipelines Drive complex, cross-functional, and comprehensive project plans independently Deliver high-quality results while working in a dynamic and fast-paced environment Demonstrate exceptional verbal and written communication, including presentation skills to all levels of the organization6+ years of project management experience, specifically within a large-scale data engineering or analytics environment Project Management: Strong familiarity with Agile methodologies, Proven success driving cross-functional programs across engineering and other teams within a fast-paced environment, Excellent communication, risk management, and stakeholder-alignment skills, Comfortable diving deep to understand processes, systems, and policies to ensure high-quality solutions Technical Skillset: Familiarity with big data technologies and modern data engineering concepts BS in Information Systems, Data Science, Computer Science, Business, or Engineering majors preferred or relevant and equivalent industry experience including Data analytics experience with business acumen and data comprehension Program management in big data engineering Conceptual understanding of big data engineering and data analytics Data and analytics project management experience Experience with commerce, subscriptions, and/or customer lifecycle data ecosystems Leadership and gravitas to drive conversations with analytics stakeholders Ability to deliver high-quality results while working in a dynamic and fast-paced environment Process-oriented and detail-oriented approach Understanding of agile project management methodologies Strong facilitation skills to drive a complex, cross-functional, and comprehensive project plan independently Exceptional verbal and written communication, including presentation skills to all levels of an organization Aptitude and willingness to learn along with proactive attitude and energy