AMP Engineering Program Manager - Strategic Data Solutions

Apple • Austin, TX

3d

About The Position

Apple’s Strategic Data Solutions (SDS) team is seeking a Program Manager to help drive the strategy and technical development of fraud decisioning and decision automation programs supporting Apple Media Products (AMP) and Commerce.

Program Managers conceptualize, build, and deliver analytic solutions that help Apple provide exceptional products and services to customers and business partners. They partner with business, engineering, and operations teams to structure and drive cross-functional engineering, machine learning, and operations initiatives focused on detecting and mitigating fraud, generating revenue, and streamlining operations. The role calls for understanding business priorities, establishing team strategy, fostering communication, developing a deep understanding of systems and analytics, and bringing structure to uncertain situations with competing priorities.

The Program Manager works collaboratively with data scientists, engineers, analysts, and other program managers, and builds partnerships across Apple’s business and engineering teams. The role involves identifying business opportunities, developing analytic solutions and roadmaps, prioritizing work, managing projects and milestones, adapting plans, and keeping teams and leaders informed. It also includes hands-on involvement in engineering and analytics details such as system and data design, fraud logic, performance metrics, and the software development release lifecycle. The role operates under limited supervision and requires sound judgment about when to seek guidance.

Requirements

• Bachelor’s or master’s degree in an analytical, quantitative, or technical field, or equivalent experience.
• At least 5 years of relevant program management experience.
• Ability to perform business discovery, simplify and define problems, extract key information, and propose innovative solutions.
• Ability to understand complex business, engineering, and analytical problems and provide in-depth evaluations.
• Strong project risk management skills, including predicting, identifying, clarifying, assessing, tracking, and mitigating risks.
• Experience structuring and leading large cross-functional technical or analytical projects.
• Experience aligning project schedules across distributed engineering and QA teams through collaboration and influence.
• Ability to drive change through positive influence with coworkers, leaders, and business partners.
• Experience motivating and empowering others to prioritize effectively.
• Strong interpersonal skills, including the ability to connect with people at all levels and develop close partnerships.
• Inquisitiveness and a desire for continued self-improvement and development of new skills.

Nice To Haves

• Ability to communicate at the appropriate level of detail for each project stage and audience.
• Ability to manage conflicting ideas, ensure all voices are heard, and make difficult decisions.
• Previous experience in engineering, data analysis, machine learning, or fraud detection and response.
• Previous experience in payments, finance, or digital experience.

Responsibilities

• Collaborate with data scientists, engineers, analysts, and program managers.
• Develop partnerships across business and engineering teams at Apple.
• Identify business opportunities and develop analytic solutions with functional requirements and technical implementation roadmaps.
• Prioritize team work by balancing impact, cost, resourcing, timelines, likelihood of success, and risk.
• Manage day-to-day projects by coordinating internal and partner teams, tracking milestones, adapting plans, and keeping teams and leadership informed.
• Engage with engineering and analytical project details, including system and data design, fraud logic, key performance metrics, and the software development release lifecycle.
• Understand business priorities, establish team strategy, and support communication and progress toward deliverables.
• Use good judgment when working under limited supervision, including deciding when to seek guidance.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level