Technical Data Product Manager, Apple Media Marketing Data

The Technical Data Product Manager leads the marketing data landscape across Apple Media Services — Apple Music, Apple TV, Arcade, App Store, iCloud, Apple One, Fitness+, Sports, and Podcasts. This role unites Marketing, DS&A, Engineering, and Privacy teams to deliver reliable, privacy-compliant data for measurement, attribution, and growth. Own the marketing data collection roadmap — identifying gaps, prioritizing instrumentation, and driving delivery with Client Engineering, Data Engineering, and Server Engineering teams Partner with Marketing, Data Science & Analytics, and Business Intelligence teams to understand measurement needs; lead cross-functional instrumentation efforts across Apple Services ensuring consistent coverage of marketing touchpoints including push notifications, in-app journeys, upsell flows, and omnichannel signals Ensure data collection adheres to Apple's privacy standards and global regulations; proactively incorporate new requirements into data design Enrich marketing event data into downstream warehousing environments; design a scalable data strategy supporting marketing use cases across Apple Media Services’ ecosystem Develop and maintain data taxonomy frameworks for marketing instrumentation — standardizing event schemas, attribution models, and reporting structures across lines of business Define and own data contracts with engineering partners to ensure accuracy, completeness, and timeliness of marketing 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 marketing 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 or subscription Strong proficiency in SQL; experience with Python and PySpark Deep knowledge of client-server analytics tracking strategies and marketing instrumentation (clickstream, push notifications, engagement events) 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 Bachelor's degree or equivalent work experience in Engineering, Computer Science, or Business Information Systems Knowledge of data governance, privacy principles, and global regulatory compliance (e.gGDPR, 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 marketing attribution, A/B testing, and omnichannel measurement is a strong plus 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 in subscription economics, customer lifetime modeling, or multi-touch attribution at a major digital media or technology company

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