About The Position
Apple’s Strategic Data Solutions team is seeking an experienced project manager to support data scientists in fighting fraud across Apple’s Retail Ecosystem. The role combines strategic roadmap development with quick tactical responses, balancing financial fraud prevention with customer experience. The Engineering Project Manager works with program and project managers, data scientists, engineers, and domain experts to build solutions that improve security, mitigate fraud, and optimize efficiency. The role supports operations by managing business-critical metrics in partnership with technical and business partners, and by coordinating analytical projects. It prioritizes work across urgent operational needs and long-term roadmaps, balancing impact, cost, resourcing, timeline, and risk. The project manager builds relationships with business and engineering leaders, identifies process improvements, guides brainstorming and innovation, and drives cross-team projects from inception through release and monitoring. The role operates under limited supervision, using good judgment and seeking guidance when appropriate.
Requirements
- Bachelor’s degree in an analytical, quantitative, or technical field such as engineering, mathematics, computer science, or finance, or equivalent experience.
- Experience organizing and leading cross-functional technical projects, including clarifying requirements, resolving conflicts, defining roadmaps, 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 analytical issues.
- Skill in using data to present and advocate for solutions and prioritize among them.
- Experience motivating and empowering others to do their best work.
- Inquisitive, with a desire for continued self-improvement and development of new skills.
- Ability to be an effective team player and demonstrate success in a values-driven culture.
Nice To Haves
- Previous experience with engineering, data analysis, machine learning, or fraud detection and response.
Responsibilities
- Support operations and manage business-critical metrics in partnership with technical and business partners.
- Get into the details of analytical projects.
- Prioritize work across urgent operational responses and long-term roadmap goals, balancing impact, cost, resourcing, timeline, and risk.
- Build partnerships with business and engineering leaders across multiple teams.
- Identify and drive opportunities for process improvement.
- Guide brainstorming and innovation.
- Drive intra-team and cross-team projects from inception through release and monitoring.
- Keep partners informed.
- Work under limited supervision, exercise good judgment, and know when to seek guidance.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
