Technical Data Product Manager, Apple Media Marketing Data

At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. If you are a self-motivated, high-energy individual who is not afraid of challenges, we're looking for you. Apple Media Services is seeking a proven Technical Data Product Manager to lead marketing data collection and dataset strategy for Apple Services.\\n\\n\\n

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.

5 + years in Technical Product Management, data engineering, or data science, preferably in digital media or subscription\nStrong proficiency in SQL; experience with Python and PySpark\nDeep knowledge of client-server analytics tracking strategies and marketing instrumentation (clickstream, push notifications, engagement events)\nHands-on experience with big data technologies (Hadoop, Spark, Vertica, or equivalent)\nExperience with data pipeline design, ETL development, and data transformation best practices\nExperience with dataset design, including projections, aggregates, metadata, and reference tables\nBachelor's degree or equivalent work experience in Engineering, Computer Science, or Business Information Systems\nKnowledge of data governance, privacy principles, and global regulatory compliance (e.gGDPR, DMA)\nExcellent communication and project management skills; strong analytical mindset with proven ability to deliver complex, cross-functional projects end-to-end\nRelentless 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\nFamiliarity with marketing attribution, A/B testing, and omnichannel measurement is a strong plus\n\n

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)\nExperience with privacy-enhancing technologies such as differential privacy, federated learning, or on-device computation to enable privacy-compliant measurement at scale\nPrior experience in subscription economics, customer lifetime modeling, or multi-touch attribution at a major digital media or technology company