AppleCare EPM
Apple's Strategic Data Solutions team is seeking an engineering program manager to support AppleCare. Do you thrive at the intersection of technical complexity and strategic thinking? Are you energized by partnering with engineers, influencing roadmaps, and driving real impact? This role offers the opportunity to exercise interpersonal, organizational, technical, and analytical skills - owning and driving roadmaps while coordinating the success of programs. We're looking for someone who can drive both our long-standing fraud-detection mission and our newly launched operations initiatives - from advancing the machine learning models and rule-based engines that detect and block fraudulent claims, to helping grow our programs aimed at making AppleCare's operations more efficient, improving the service we offer customers, and reducing costs. Join our skilled team of program managers, machine learning engineers, software engineers, data scientists, and domain experts building solutions that protect, optimize and empower Apple.
Description
Contribute to team's strategic roadmap and prioritize work aligned with that vision, balancing impact, cost, resourcing, timeline, and risk
Communicate strategy, success metrics, and progress to both technical teams and up to senior management
Lead projects from inception through delivery and ongoing monitoring, maintaining alignment across engineering and business stakeholders
Build and maintain relationships across SDS & partner teams to ensure alignment and drive outcomes
Propose opportunities for process improvements
Maintain business-critical metrics in close partnership with technical teams, ensuring operational health and performance
Get into the details on technical projects and critical metrics; work with the team to solve complex challenges
Identify program and technical risks; bring structure and clarity to ambiguous situations with competing priorities
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* Operate independently, exercising sound judgment and knowing when to escalate or seek guidance
Preferred Qualifications
Previous experience in engineering, data analysis, machine learning, or operations would be beneficial but is not required
Minimum Qualifications
BS in any analytical, quantitative, or technical field (engineering, math, computer science, finance, analytics, statistics, or similar)
5 years of experience structuring and leading large, cross-functional, technical or analytical projects/programs
Experience contributing to business discovery, defining problems, extracting key information, and leading innovative analytic approaches - including in areas outside own core expertise
Demonstrated ability to drive change through positive influence of co-workers, leadership, and business partners
Ability to learn and contribute to in-depth evaluations of complex engineering and analytic issues
Skilled at using data to present, advocate for, and prioritize among solutions
Strong interpersonal skills with the ability to connect and develop close relationships across SDS & 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 communicator who can adapt between technical detail and senior management storytelling
Ability to influence through metrics, vision, and collaborative leadership
Inquisitive mindset with a drive for continued self-improvement and development of new skills
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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