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.

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.

Responsibilities:

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

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

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

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $163,300 and $245,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.