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.
Description
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.
Minimum Qualifications
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
Preferred Qualifications
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: bd336a14948c86e135987db1cc5e1d7d
- Posted 30+ days ago
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