Data Products & Business Intelligence Lead Wallet, Payments & Commerce

Design and build the next generation of analytical data products for Apples Wallet Payments u0026 Commerce from instrumentation specs to last-mile datasets and interactive Visualization. Serves as a hands-on Data Product u0026 BI Lead driving end-to-end delivery of scalable privacy-first analytics platforms that power trusted insights across the is where individual imaginations gather together committing to the values that lead to great work. Every new product we build service we create or Apple store experience we deliver is the result of us making each others ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world changing lives for the better. Its the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in we can do the best work of our lives. Here youll do more than join something youll add something.

Our culture is about getting things done iteratively and rapidly with open feedback and debate along the way; we believe analytics is a team sport but we strive for independent decision-making and taking smart risks. Our team collaborates deeply with partners across product design engineering and business teams: our mission is to drive innovation by providing the business and data scientist partners best in class systems and tools to make decisions that improve the customer experience. This will include leveraging large and complex data sources helping derive actionable insights delivering dynamic and intuitive decision tools and bringing our data to life via interactive self serve decision tooling with an eye to meet high standards of trust accuracy legal and privacy ideal candidate is a self-motivated team player skilled in a broad set of data product tools and techniques with a strong sense of Apple design philosophy. The candidate will have the ability to adapt and learn quickly provide results with limited direction and choose the best possible path forward at all is a rare opportunity to define the analytics foundation for one of Apples most strategically important business areas Wallet Payments u0026 Commerce. You wont be maintaining the status quo; youll be building the future from metrics architecture to AI-driven decision intelligence at a scale and quality standard that only Apple demands.

Define data instrumentation specs user journeys and interaction flows to systematically collect behavioral transactional and operational data enabling robust analytics and insightful reportingnDesign develop and maintain scalable analytical last-mile datasets and data productsnDesign and build a solid metrics layer to drive trustworthy insights and AI-driven inferencesnEstablish data quality frameworks (e.g. anomaly detection) to ensure accuracy and consistency across all data productsnDevelop data visualizations leveraging AI and modern tools as appropriatenCollaborate closely with a diverse set of partners across product engineering design and business to gather requirements prioritize use cases and ensure high-quality data product discovery workshops with domain experts and synthesize requirements into wireframes mockups and development specificationsnThis role is a senior IC position with team influence you are expected to actively mentor and up-level junior engineers and team members working alongside you.

Bachelors or Masters degree in Computer Science or a related technical field or equivalent experiencen10 years of experience designing developing and deploying next-generation data and AI-powered analytical products.n3 years as a senior IC leading the development of data products AI-enabled analytics and visualizations across multiple lines of proficiency in SQL Scala Python with hands-on experience in data pipeline tools (e.g. Apache Spark Kafka Airflow) CI/CD practices and version understanding of data warehousing dimensional data modeling semantic/metrics layers and metric applying Generative AI/LLMs and agentic AI patterns to analytics use cases such as insight generation natural-language data exploration and workflow ability to influence without authority across engineering and business teamsnExcellent Executive communication skills with both technical and non-technical audiences

Familiarity with digital payments or fintech data transaction metrics funnel analytics financial KPIsnFamiliarity with AI-driven analytics / conversational BInKnowledge of data governance data cataloging and metadata managementnExperience working closely with data engineering and platform teams to align on data models and infrastructure/platform requirementsnProven record in leading junior engineers to build metrics or BI foundation