Engineering Project Manager- Data Foundation (Wallet and Payments)

Engineering Project Manager- Data Foundation (Wallet and Payments)

Cary, North Carolina, United States Software and Services Summary Posted:

Feb 09, 2026

Weekly Hours:

40

Role Number:

200646063-1435 Imagine what you could do here! At Apple, excellent ideas have a way of becoming great products, services, and customer experiences. Bring passion and dedication to your job and there's no telling what you could accomplish.

The people at Apple don't just build products — we craft the kind of wonder that's revolutionized entire industries. Apple is where individual creativities gather together, contributing to the values that lead to extraordinary work. Every new product we build, service we create, or Apple Store experience we deliver, is the result of us making each other's ideas stronger. Apple's Wallet and Payments team is looking for a dynamic Engineering Project Manager (EPM) to help build services that millions of customers use every day. Join our exciting and fast-paced engineering organization where we challenge the landscape through innovation, secure customer enablement, and privacy. As an Engineering Project Manager on the Wallet and Payments team, you will help shape the roadmap and delivery of one of the most impactful services at Apple. Description As an Engineering Project Manager, you will be working directly with engineering teams to deliver large-scale, cross functional and cross-platform programs. You will be responsible for planning, execution, and reporting of associated projects. You will collaborate with other EPMs within the Wallet and Payment organization , as well as other groups within Apple. You will be responsible for running large scale data platform projects by identifying deliverables, managing risk and improving our processes while working towards successful outcomes. If you love non-routine work that requires social intelligence, critical thinking, and creative problem solving, we'd love to hear from you! Responsibilities Lead end-to-end program management for large, multi-year data platform initiatives, working directly with engineering teams Lead all aspects of project information including timelines, resource allocation, scope and definition Lead multiple cross-functional projects by providing project leadership and daily management through project life cycle Partner closely with Data Engineering leads to define architectural direction and technical roadmaps involving batch/stream processing, orchestration, metadata management, and data quality frameworks. Identify inter-dependencies between the various partner groups to ensure all are aligned and risks are identified, mitigated and communicated Navigate and complete tasks in an environment of ambiguity and lead teams to the successful delivery of solutions Communicate program health, milestones, and risks to executives and cross-functional leadership. Minimum Qualifications Self-starter with 7+ years of strong experience in technical program management, engineering management, or a related field Strong experience managing programs in data engineering, data platforms, distributed systems or analytics infrastructure Understanding of the modern data stack: Data lakes, Batch /stream processing framework, Orchestration tools, Cloud platform, Data processing platform. Solid project management, organizational skills, ability to prioritize multiple tasks and follow through deadlines/projects simultaneously under minimal supervision Experience at prioritizing features, and building technical roadmaps Solid track record to work effectively with multiple stakeholders across various business units. Self-motivated and proactive with demonstrated creative and critical thinking capabilities Strong analytical, problem-solving and facilitation skills coupled with good business insight. Outstanding presentation, oral and written communication and interpersonal skills including the ability to interact effectively with individuals and groups at all levels of the organization including external partners. Preferred Qualifications Experience in large-scale data platform modernization or migration programs. Experience implementing data governance, privacy, lineage, or catalog solutions. Familiarity with ML platforms or MLOps workflows Exposure to security and compliance areas would be a plus Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Apple accepts applications to this posting on an ongoing basis.