Manager, Data & Analytics — Apple Retail Online

Imagine what you could do here! The people here at Apple dont just create products they build the kind of wonder thats revolutionized entire industries. Its 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. At Apple inclusion is a shared responsibility and we work together to foster a culture where everyone belongs and is inspired to do their best work. nnHere on the Apple Store Online team we are responsible for Apples largest store. Our main goal is to deliver a magical personal digital experience where customers can shop buy and learn everything Apple 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. To run such an extraordinary store it takes extraordinary people and we are looking for someone to help us do extraordinary Retail Online Analytics team is responsible for providing insights analytical solutions and intelligent systems to Commercial Management Commercial Marketing Digital Merchandising Online Product Management Retail Contact Center as well as Finance and other partner Manager of Online Data u0026 Analytics leads a multidisciplinary center of excellence within Apple Retail Online spanning Advanced Analytics Machine Learning Engineering Data Engineering and AI-powered Decision Support. Reporting to the Global head of Retail Online Analytics this role drives the strategy architecture and delivery of data-driven insights scalable ML systems and intelligent applications that directly improve customer experience and business outcomes for the Apple Store Online organization.

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. The team encompasses advanced analytics ML engineering and data architecture u0026 engineering functions. This team is tasked with the development of analytics and ML solutions scalable data infrastructure with modern CI/CD practices AI-powered decision support applications and reusable analytics libraries for performance measurement and activation of insights to improve customer experience and make a direct impact on business individual is highly proficient with advanced time series analysis e-commerce analytics machine learning systems data architecture u0026 engineering emerging AI technologies and ML Ops. They excel at turning data discoveries into analytical insights and intelligent applications that drive business and customer outcomes. The role requires a mix of high-level leadership technical vision across the data and ML stack and deep experience advising the activities of a highly applied and results-focused are skilled analytically and have a deep understanding of the businesses you support. You will be a thought partner to your business partners understand their goals and objectives and leverage your analytical skills ML capabilities and AI tools to surface meaningful insights and build systems that scale seek someone with a strong business demeanor and outstanding technical skills who possesses the ability to condense sophisticated analysis ML model outputs and AI system capabilities into clear and concise takeaways for business leaders.

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 Center of Excellence Establish scalable data infrastructure reusable analytics assets and modern data pipelines to deliver business insights at scale across the Advanced Analytics Deliver solutions for performance measurement customer insights media planning attribution forecasting base u0026 incremental analysis market basket analysis and purchase probability 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 ML Model Lifecycle Oversee end-to-end model development deployment validation monitoring and retraining strategies to ensure production-grade ML Data Engineering Direction Define technical direction for pipeline architecture data modeling orchestration and CI/CD practices ensuring reliable testable and version-controlled data 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 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 Business Partners Act as a thought partner to Digital Marketing eCommerce Merchandising and Finance stakeholders; translate their goals into analytical and ML-driven Insights Clearly Synthesize complex analysis ML model outputs and AI system capabilities into clear concise takeaways for business leaders and decision Cross-Functionally Initiate and lead cross-functional and cross-organizational projects building strong relationships with partners and influencing decision makers at all levels.

Advanced degree in a quantitative field such as Statistics Computer Science Applied Social Sciences Engineering or Mathematics.n10 years of experience in Marketing Science Advanced Analytics or Data Science.n5 years of experience with big data computing machine learning techniques and data engineering at scale.n5 years of people management experience leading cross-functional technical with ML model productionalization and modern data engineering practices including CI/CD orchestration and data quality with big data and ML frameworks such as Spark Hadoop Scikit-learn XGBoost or -level knowledge of applied regression techniques including Linear Logistic Mixed Models Distributed Lags Time Series GLM and Simultaneous track record of leading virtual/distributed teams and influencing without direct verbal and written communication skills with the ability to present to senior business supporting eCommerce and Digital Marketing partners.

Familiarity with AI/ML application development including agentic systems NLP or Generative AI deploying LLM-based agents RAG pipelines or other AI-powered decision support systems in a production expertise in marketing mix modeling and media attribution across digital and offline with advanced analytic solutions for customer insights and media planning (attribution forecasting market basket analysis purchase probability).nStrong command of data engineering principles including ETL/ELT design patterns data quality frameworks infrastructure-as-code and automated ability to measure interaction effects of marketing channels across product launches promotions and business-as-usual with supervised unsupervised and reinforcement learning techniques applied to real business track record of initiating cross-organizational projects and building influence with executive problem-solving skills with strong attention to detail and creative resourcefulness.