Engineering Program Manager, Foundation Modeling Data

In this role, you will be responsible for creating and managing project schedules with clear dependencies, a defined critical path, and a systematic methodology to communicate status. You will proactively drive alignment across the organization and between teams, managing risks and mitigations while remaining agile enough to re-plan as events warrant. As a primary problem solver, you will identify issues and solutions early, marshaling the resources necessary to resolve them while coordinating with cross-functional teams to prioritize tasks and track risks to both schedule and product quality. Your impact will be felt through clear, timely, and objective communication, including regular program status updates and the escalation of critical issues to the executive team. By breaking down complex issues into manageable discussion topics, you will drive engineering and design alignment, maintaining a steadfast orientation toward teamwork and collaboration. Ultimately, you will drive on-time delivery and deployment by identifying development needs and establishing key achievements for checkpoints. Beyond daily execution, you will continuously reflect on how the team operates, proposing and implementing new ways to work to improve the rate at which we deliver value to our customers. 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. Build relationships across the Foundation Modeling organization and across Apple, aiding teams in working with data engineering; facilitate communication between cross-divisional groups around Apple. 4+ 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. Outstanding communication and presentation skills, written and verbal, to all levels of an organization. BS/MS in EE/CS/CE or equivalent Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly triage, prioritize, and lead under pressure. Strong analytical thinking, analysis, and problem-solving skills Proficiency in Agile, SDLC development processes Strong leadership skills, including coaching, team-building, conflict resolution, and management Superior group facilitation, interviewing and influence skills Ability to communicate abstract ideas clearly and independently manage complex project objectives 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.)

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