Director, Online Data & Analytics

Apple Inc.

Cupertino (CA)

On-site

USD 212,600 - 319,800

Full time

14 days+

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Job summary

Apple Inc. in Cupertino is seeking a Manager of Data & Analytics to lead the Online Analytics team for the Apple Retail Online division.

You will manage a multidisciplinary group of data scientists, ML engineers, and data engineers to deliver scalable insights and AI-powered decision support that enhance customer experience and business outcomes. The role requires deep expertise in time series, ML productionization, and marketing analytics, along with a proven ability to partner with Digital

Qualifications

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.
Strong verbal and written communication skills with the ability to present to senior business leaders.
Experience supporting eCommerce and Digital Marketing partners.

Responsibilities

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.
Drive Advanced Analytics — Deliver solutions for performance measurement, customer insights, media planning, attribution, forecasting, base & incremental analysis, market basket analysis, and purchase probability modeling.
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 tools including agentic workflows, RAG applications, and intelligent automation to help business partners access insights and act efficiently.
Translate AI/ML into Business Value — Drive adoption of applied AI and ML into business processes — including LLM-based agents, recommendation systems, and propensity models — delivering measurable outcomes.
Advise Business Partners — Act as a thought partner to Digital Marketing, eCommerce, Merchandising, and Finance stakeholders; translate their goals into analytical and ML-driven solutions.
Communicate Insights Clearly — Synthesize complex analysis, ML model outputs, and AI system capabilities into clear, concise takeaways for business leaders and decision makers.
Lead Cross-Functionally — Initiate and lead cross-functional and cross-organizational projects, building strong relationships with partners and influencing decision makers at all levels.