Engineering Project Manager, Retail Fraud - Strategic Data Solutions

Apple's Strategic Data Solutions team is seeking an experienced project manager to support data scientists as we fight fraud. Do you enjoy understanding the big picture and diving into technical details? Does regularly adapting your communication styles to partner on business perspectives, engineering pipelines and fraud logic sound fun? This role provides an opportunity to exercise interpersonal, organizational, technical, analytical and leadership skills. In this role, you will help create and drive strategic roadmaps and coordinate quick tactical responses. Our aim is to address financial fraud without sacrificing customer experience. Given the adversarial nature of fraud, we are constantly challenged to innovate together, drawing from diverse perspectives as we design and build new solutions. Come join our skilled team of program and project managers, data scientists, engineers and domain knowledge experts to build solutions that improve security, mitigate fraud and optimize efficiency across Apple’s Retail Ecosystem. An EPM in this role will • Support our operations—managing business critical metrics by partnering closely with our technical and business partners • Get into the details on analytical projects • Prioritize work in alignment with urgent operational responses as well as long-term roadmap vision to balance impact, cost, resourcing, timeline and risk • Build partnerships with key business and engineering leaders across multiple teams • Continually identify and drive opportunities for process improvement • Guide brainstorming and innovation • Drive intra- and cross-team projects from inception through release and monitoring Keep partners informed • Work under limited supervision, use good judgment and know when to seek guidance If you thrive at the intersection of analytics, engineering, and fraud strategy while driving innovation and ensuring operational excellence - we’d love to hear from you!

Bachelor's degree in any analytical, quantitative or technical field (engineering, math, computer science, finance or similar), or equivalent experience Experience organizing and leading cross-functional technical projects (clarifying requirements, resolving conflicts, defining roadmap and driving progress) Ability to think broadly about business, customer and system impact Ability to learn and provide in-depth evaluations of complex engineering and analytic issues Skilled at using data to present, advocate for and prioritize among solutions Experience motivating and empowering others to do their best work Previous experience with engineering, data analysis, machine learning or fraud detection/response is preferred The ideal candidate is inquisitive and has a desire for continued self-improvement and development of new skills Be an ideal team player, demonstrating success in a values driven culture