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. 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.