Finance Project Manager

The people here at Apple don’t just create products, they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Our team produces the foundation, tools, and support that enable Corporate FP&A and Investor Relations to provide the financial insight that our executives need to keep Apple as the preeminent company in the world. As a Project Manager on the Corporate FP&A Data Analytics team, you'll keep engineering execution and business priorities moving in step. You'll own delivery timelines, capacity planning, and risk management for a team that spans data engineering, front-end development, and AI-powered features, and keep everyone aligned on what's shipping and when. It's a delivery-and-coordination role at the center of one of Apple's internal financial-tooling efforts, making sure the analysis and reporting tools our FP&A and Investor Relations partners depend on are delivered on time and at quality. Minimum Qualifications: 7 years in technical project or program management, or a delivery-focused role on a software or data engineering team. BS or MS in Engineering, Computer Science, Finance, Business, or a related field. Proficiency with Agile delivery (Scrum or Kanban), including sprint planning, stand-ups, retrospectives, and sprint goals with clear acceptance criteria. Capacity and resource planning across concurrent projects. Experience tracking delivery in Radar, Jira, or similar systems (with detailed investigation and bug-fix logs), and managing cross-functional dependencies, escalations, and risks. Experience building status reports or dashboards that give leadership a clear read on delivery and risk. Preferred Qualifications: Experience managing or coordinating teams with mixed skillsets across database development, web services, front-end UI, data modeling, and AI/ML. Familiarity with HANA, SQL-based development, or similar enterprise data platforms, fluent enough to follow engineering conversations and estimate effort. Experience using generative AI to automate project-management work like status collection, reporting, and capacity tracking. Experience with release coordination (deployment scheduling, UAT, downtime communication, go/no-go decisions) and how CI/CD pipelines fit into release workflows. Experience handling confidential, market-sensitive financial data within security and data-governance controls. Domain experience in corporate finance, FP&A, BI, or financial reporting environments. Keeps engineering and business partners on the same page, and runs the team's documentation and tracking in tools like Jira, Confluence, or Quip. Juggles multiple concurrent work streams without dropping threads, and stays steady when priorities shift.