Data Products & Metrics Foundation Lead - Wallet, Payments & Commerce

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 compliance. The 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 times. This is a rare opportunity to define the analytics foundation for one of Apple's most strategically important business areas — Wallet, Payments & Commerce. You won't be maintaining the status quo; you'll be building the future — from metrics architecture to AI-driven decision intelligence — at a scale and quality standard that only Apple demands Metrics Foundation & Headless BI Design and own the metrics layer — defining how metrics are modeled, governed, and consumed across the organization Architect and implement a headless BI strategy decoupling metric definitions from visualization/consumption tools Build and maintain a centralized metrics store ensuring single source of truth for all KPIs and business metrics Define metric ownership, versioning, and certification standards to ensure trusted, consistent consumption across all teams BI Architecture & Visualization Strategy Own the future-state visualization strategy — including self-serve, embedded analytics, and AI-assisted insights Serve as the BI Solution Architect — evaluating, selecting, and governing visualization and reporting tools Establish BI tool standards, best practices, and governance frameworks Lead the transformation of BI from legacy reporting to a modern, AI-driven data consumption model Lead build vs. buy evaluations for BI and visualization capabilities, balancing innovation with Apple's standards Partner with Legal, Privacy, and Compliance teams to ensure data consumption practices meet Apple's trust and privacy standards Leadership & Strategy Operate as a senior IC with organizational influence across multiple LOBs Define the long-term vision and strategy for metrics engineering and data products Influence and contribute to the data platform roadmap from an analytics and BI perspective Drive organizational alignment on metric definitions, data literacy, and analytics standards Present and communicate analytics strategy and roadmap to senior leadership Stay ahead of industry trends in headless BI, metrics layers, and data visualization Innovation & AI Readiness Build the semantic foundation required for LLM-powered analytics — clean metrics, trusted definitions, governed access Evaluate and adopt modern tools for semantic modeling and headless BI Enable multi-modal data consumption — dashboards, APIs, embedded analytics, and AI assistants from a single source of truth Act as a thought leader on emerging trends in BI + AI convergence, guiding long-term roadmap and investments Drive transformation from reporting → insights → decision intelligence Bachelor’s or Master’s degree in Computer Science or a related technical field or equivalent experience 10+ years of experience in designing, developing and deploying next-gen Analytical Data Products. 3+ years in a lead, architect, or senior IC role in Metrics foundation and BI solution design Strong understanding of data warehousing, data modeling (dimensional/star schemas), and metric standardization. Experience implementing or working with headless BI / semantic layer tools Demonstrated ability to influence without authority across engineering and business teams Excellent Executive communication skills with both technical and non-technical audiences Familiarity with payments, commerce, or fintech data — transaction metrics, funnel analytics, financial KPIs Familiarity with AI-driven analytics / conversational BI Knowledge of data governance, data cataloging, and metadata management Strong SQL skills, with exposure to Python and large-scale data processing frameworks (e.g., Apache Spark) Experience working closely with data engineering and platform teams to align on data models, and infrastructure/platform requirements Experience navigating complex organization dynamics and driving cross-functional initiatives to completion in a fast-paced environment Proven record in leading junior engineers to build metrics or BI foundation

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