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Program Manager

2 months ago


San Francisco, California, United States Apple Full time
About the Role

We are seeking an experienced Program Manager to join our AIML Data Engineering team at Apple. As a Program Manager, you will be responsible for managing data collection and streamlining processes, creating frameworks that scale across different teams, and supporting and maintaining the operations of those processes.

Key Responsibilities
  • Manage data collection and streamlining processes, creating frameworks that scale across different teams, and supporting and maintaining the operations of those processes.
  • Own program and project planning for partner Data Engineering team, including gathering requirements, scoping effort, prioritization and resource allocation, blocking and tackling, and schedule of deliverables.
  • Contribute to product definition with partner Data Engineering team, identifying and understanding customer needs and priorities, and developing roadmap.
  • Facilitate communication cross-functionally with other teams, ensuring that requirements are well understood, and that priorities and delivery schedules expectations are managed.
  • Build and run processes that allow for the maximum agility and adaptation across data engineering teams to collect data and understand our products.
Requirements
  • 5+ years project management, engineering management, and/or QA/QC engineering experience for software development quality in a fast-paced, incredibly sophisticated service.
  • Technical program management or engineering ownership of data collection, pipelines, or tools used by internal engineering teams; experience driving on roadmaps/long-term strategy of internal tools & systems.
  • Experience gathering, analyzing, and presenting data and metrics to back up assumptions, make recommendations, and drive actions.
  • Career examples of hands-on involvement of delivering instrumentation, data platforms, data tools, or data processes that improved the customer experience.
  • Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly triage, prioritize, and lead under pressure.
  • Outstanding communication and presentation skills, written and verbal, to all levels of an organization.
Preferred Qualifications
  • BS/MS EE/CS/CE or equivalent
  • Bonus if you have prior data analysis experience (SQL, Python/Jupyter Notebooks, Tableau, Superset)
  • Bonus if you have prior experience exploring data formats and tools for big data systems (e.g. Parquet, Avro, Protobuf)
  • Bonus if you have prior experience working with data engineers (e.g. engineers who use tools such as Airflow, Luigi, Jenkins, MapReduce, Pig, Spark, Hadoop, Hive, HBase, Greenplum, Vertica, etc.)