Manager, Data & Analytics - Apple Retail Online

Job summary

Imagine what you could do here! The people here at App*** don’t just create products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.

Benefits

Qualifications

• Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything App***, wherever they are.
• Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive.
• We are seeking an experienced senior professional to lead a multidisciplinary team and build a center of excellence for online analytics, data engineering, machine learning, and AI-driven decision support.
• Familiarity with AI/ML application development including agentic systems, NLP, or Generative AI
• Advanced degree in a quantitative field such as Statistics, Computer Science, Applied Social Sciences, Engineering, or Mathematics.
• 10+ years of experience in Marketing Science, Advanced Analytics, or Data Science.
• 5+ years of experience with big data computing, machine learning techniques, and data engineering at scale.
• 5+ years of people management experience leading cross-functional technical teams.
• Experience with ML model productionalization and modern data engineering practices including CI/CD, orchestration, and data quality monitoring.
• Proficiency with big data and ML frameworks such as Spark, Hadoop, Scikit-learn, XGBoost, or PyTorch.
• Expert-level knowledge of applied regression techniques including Linear, Logistic, Mixed Models, Distributed Lags, Time Series, GLM, and Simultaneous Equations.
• Proven track record of leading virtual/distributed teams and influencing without direct authority.

Responsibilities

• At App***, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.
• Here on the App*** Store Online team, we are responsible for App***’s largest store.
• Lead a Multidisciplinary Team - Manage and develop a team of Data Scientists, Machine Learning Engineers, and Data Engineers across advanced analytics, ML engineering, and data architecture functions.
• Manage Center of Excellence - Establish scalable data infrastructure, reusable analytics assets, and modern data pipelines to deliver business insights at scale across the organization.
• Own Marketing Mix Modeling - Develop and maintain marketing mix models to analyze and simulate the incremental impact of digital and offline marketing channels, including during product launches and promotions.
• Lead ML Model Lifecycle - Oversee end-to-end model development, deployment, validation, monitoring, and retraining strategies to ensure production-grade ML performance.
• Set Data Engineering Direction - Define technical direction for pipeline architecture, data modeling, orchestration, and CI/CD practices ensuring reliable, testable, and version-controlled data workflows.
• Deploy AI Decision Support Systems - Conceptualize and deploy AI-powered

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