Apple's Strategic Data Solutions (SDS) team builds applied machine learning and analytical solutions with direct, measurable impact across Apple and its customers. Our teams combine machine learning, software engineering, data analytics, and data annotation and labeling to turn complex business problems into scalable, trusted systems, with a high bar for quality, privacy, and operational excellence.
Description
We are looking for a senior Engineering Program Management leader to guide program strategy and execution for the SDS Machine Learning organization across multiple lines of business and geographies. You will lead high-functioning teams of managers across multiple functions, own strategic roadmaps, and build the operating rhythms that help a large, cross-functional group succeed. You will influence at the executive level and across global teams. Do you thrive at the intersection of technical complexity and strategic thinking? Join us to build solutions that protect, optimize, and empower Apple.
Minimum qualifications
BS in an analytical, quantitative, or technical field (engineering, math, computer science, finance, analytics, statistics, or similar), or equivalent experience
9+ years leading large, cross-functional technical or analytical programs, including 5+ years of people management, managing managers and leading large or multidisciplinary organizations
Experience with data and data analytics, including using data to tell compelling stories, advocate for solutions, and influence senior leaders
Proven ability to build, manage, and develop high-functioning teams and people leaders, and to motivate others to do their best work
Demonstrated ability to influence at the executive level and drive change across colleagues, senior leadership, and business partners
Experience influencing and aligning globally distributed teams across geographies, time zones, and cultures
Experience leading business discovery, defining problem statements, and guiding analytic approaches, including outside your core expertise
Ability to evaluate complex engineering and analytic issues in depth
Ability to manage conflicting priorities and facilitate sound recommendations despite ambiguity
Clear, confident communicator with strong interpersonal skills, able to move between technical detail and executive audiences and build close relationships across SDS and partner teams
Preferred qualifications
Master's degree (MS or MBA) in a quantitative, technical, or business field, or equivalent professional experience
Experience leading programs that deliver machine learning or Generative AI solutions, with the technical fluency to evaluate tradeoffs and communicate them to senior leadership
Experience leading programs across the full machine learning lifecycle, from data preparation, annotation, and labeling through model development, deployment, and monitoring
Familiarity with data pipelines, large-scale machine learning systems, and data platforms, and how they shape timelines, dependencies, and cost
Inquisitive mindset with a drive for continued self-improvement and development of new skills