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

Architect the future of data consumption across Apple's Wallet, Payments & Commerce by shaping metrics foundation, headless BI, and AI-driven insights strategy. Serves as a solution architect, driving alignment, standards, and long-term architecture for how data is modeled, accessed, and consumed.

Apple 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 other's 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. It's 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, you'll do more than join something - you'll add something.

Description

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","responsibilities":"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

Preferred Qualifications

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)