AppleCare EPM

Apple•Austin, TX

About The Position

Apple’s Strategic Data Solutions team is seeking an Engineering Program Manager to support AppleCare. The role sits at the intersection of technical execution and strategic planning, partnering with engineers and other stakeholders to influence roadmaps and drive program outcomes. The EPM will support both the team’s established fraud-detection mission and newer operations initiatives, including advancing machine-learning models and rule-based engines that detect and block fraudulent claims, and growing programs to improve operational efficiency, customer service, and cost outcomes. The position works alongside program managers, machine-learning engineers, software engineers, data scientists, and domain experts to build solutions that protect, optimize, and empower Apple. It involves owning roadmaps, coordinating programs from inception through delivery and ongoing monitoring, maintaining critical metrics, and helping teams navigate technical challenges, risks, ambiguity, and competing priorities.

Requirements

  • Bachelor’s degree in an analytical, quantitative, or technical field such as engineering, mathematics, computer science, finance, analytics, or statistics.
  • 5 years of experience structuring and leading large, cross-functional technical or analytical projects or programs.
  • Experience contributing to business discovery, defining problems, extracting key information, and leading innovative analytical approaches, including in areas outside one’s core expertise.
  • Demonstrated ability to drive change through positive influence of coworkers, leadership, and business partners.
  • Ability to learn and contribute to in-depth evaluations of complex engineering and analytical issues.
  • Skill in using data to present, advocate for, and prioritize among solutions.
  • Strong interpersonal skills and ability to build close relationships across Strategic Data Solutions and partner teams, including engineering teams.
  • Ability to recommend ways to manage conflicting priorities, ensure all perspectives are heard, and facilitate sound recommendations despite ambiguity.
  • Clear, confident communication skills, with the ability to adapt between technical detail and storytelling for senior management.
  • Ability to influence through metrics, vision, and collaborative leadership.
  • Inquisitive mindset and drive for continued self-improvement and development of new skills.

Nice To Haves

  • Previous experience in engineering, data analysis, machine learning, or operations is beneficial but not required.

Responsibilities

  • Contribute to the team’s strategic roadmap and prioritize work in alignment with its vision, balancing impact, cost, resourcing, timelines, and risk.
  • Communicate strategy, success metrics, and progress to technical teams and senior management.
  • Lead projects from inception through delivery and ongoing monitoring, maintaining alignment among engineering and business stakeholders.
  • Build and maintain relationships across Strategic Data Solutions and partner teams to ensure alignment and drive outcomes.
  • Propose process-improvement opportunities.
  • Maintain business-critical metrics in close partnership with technical teams, ensuring operational health and performance.
  • Engage with the details of technical projects and critical metrics, and work with the team to solve complex challenges.
  • Identify program and technical risks and bring structure and clarity to ambiguous situations with competing priorities.
  • Operate independently, exercise sound judgment, and know when to escalate or seek guidance.
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