Technical Data Product Manager, iCloud Data - Jobs - Careers at Apple
- Own the iCloud data collection roadmap — identifying gaps, prioritizing instrumentation, and driving delivery with Client Engineering, Data Engineering, and Server Engineering teams
- Partner with iCloud Product, Data Science & Analytics, and Business Intelligence teams to understand measurement needs; lead cross-functional instrumentation efforts ensuring consistent coverage of iCloud touchpoints including storage tier upgrades, sync and backup flows, family sharing, cross-device continuity, and iCloud+ upsell journeys
- Ensure data collection adheres to Apple's privacy standards and global regulations; proactively incorporate new requirements into data design
- Enrich iCloud event data into downstream warehousing environments; design a scalable data strategy supporting iCloud use cases across Apple Media Services' ecosystem
- Develop and maintain data taxonomy frameworks for iCloud instrumentation — standardizing event schemas, subscription state models, and reporting structures
- Define and own data contracts with engineering partners to ensure accuracy, completeness, and timeliness of iCloud data
- Perform root-cause analysis to troubleshoot data quality issues; continuously improve the data landscape by introducing new capabilities and optimizing storage costs
- Identify and evaluate opportunities to apply generative AI and emerging technologies to iCloud data workflows — driving innovation, accelerating insights, and delivering increased business value across Apple Media Services
- 5+ years in Technical Product Management, data engineering, or data science, preferably in digital media, cloud storage, or subscription businesses
- Strong proficiency in SQL; experience with Python and PySpark
- Deep knowledge of client-server analytics tracking strategies and iCloud instrumentation (storage usage, sync events, backup/restore telemetry, family sharing, cross-device continuity)
- Hands-on experience with big data technologies (Hadoop, Spark, Vertica, or equivalent)
- Experience with data pipeline design, ETL development, and data transformation best practices
- Experience with dataset design, including projections, aggregates, metadata, and reference tables
- Knowledge of data governance, privacy principles, and global regulatory compliance (e.g. GDPR, DMA)
- Excellent communication and project management skills; strong analytical mindset with proven ability to deliver complex, cross-functional projects end-to-end
- Relentless and tenacious approach to solving data engineering challenges — you persist through ambiguity, technical obstacles, and organizational complexity to deliver solutions that support business-critical decisions
- Familiarity with subscription measurement, plan/tier upgrade funnels, and engagement analytics is a strong plus
- Bachelor's degree or equivalent work experience in Engineering, Computer Science, or Business Information Systems required
- 8+ years of experience in technical product management or data engineering, with a track record of owning platform-level data products at scale (billions of events/day)
- Experience with privacy-enhancing technologies such as differential privacy, federated learning, or on-device computation to enable privacy-compliant measurement at scale
- Prior experience with cloud storage systems, sync/backup services, or consumer subscription products at a major technology company
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🇬🇧 English