
Engineering Program Manager, Data - Special Projects
Required skills
- data initiatives
- AI
- machine learning
- cross-functional teams
- breakthrough AI capabilities
- program management fundamentals
- technical acumen
- data systems
- program momentum
- data requirements
Nice to have
- Data Science
- related field
- data-centric projects
- collection
- annotation
- model training
Role summary
Apple's Special Projects team is seeking an Engineering Program Manager (EPM) to lead critical data initiatives for next-generation AI and machine learning experiences. This role involves managing complex data programs from ideation to execution, collaborating with cross-functional teams to deliver high-quality datasets and infrastructure. The EPM will be responsible for creating project plans, securing stakeholder buy-in, and driving successful delivery in ambiguous, fast-paced environments. Key responsibilities include identifying and mitigating risks, communicating project status, and transforming data requirements into actionable programs that meet Apple's quality standards. A strong background in program management, technical acumen in data systems, and excellent communication skills are essential.
Description
Lead high-complexity projects from ideation through definition, execution, and closure for data initiatives. Translate technical requirements into well-defined, actionable project plans and deliverables. Independently identify risks, proactively develop mitigation strategies, and drive conflict resolution. Distill and communicate project status, risks, and recommendations to stakeholders at all levels.
Minimum Qualifications
5+ years of program/project experience managing complex, cross-functional technical programs. Proven track record of independently identifying and mitigating risks in ambiguous, fast-paced environments. Exceptional communication and presentation skills.
Preferred Qualifications
Bachelor's degree in Computer Science, Engineering, Data Science, or related field. Hands-on experience with data-centric projects, from collection and annotation to model training and evaluation. Experience driving process improvements in data-centric programs.
Sample Apple interview questions
- 1
Architect a big data ingestion system focusing entirely on reliability and backpressure management during unpredictable traffic events.
system designmedium - 2
Break down the system design for a global digital learning environment including video hosting and user progress tracking.
system designmedium - 3
How do you architect a risk system that dynamically shifts its strictness based on the merchants tolerance for fraud?
system designmedium - 4
Break down the data pipeline required to serve live ad performance statistics to a client dashboard.
system designmedium - 5
Let us build the backend for a smart parking garage. How do you manage inventory and process payments in real time?
system designmedium
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