Data Products & Business Intelligence Lead

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $216,200–$324,800 / yr
Posted: 14 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k

This role $270k

$141k most similar roles pay here $345k

This role pays more than 90% of similar roles. Most pay $160,400–$235,187 — the shaded band above. At the midpoint, this role pays about $270k versus about $198k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3513 open roles on FindRole.

Listed pay typically runs $165,800–$277,600 across 2730 roles with salary data.

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At a glance

TL;DR · Data Products & Business Intelligence Lead

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Data Products & Business Intelligence Lead - Wallet, Payments & Commerce serves as a senior individual contributor and mentor within the Wallet, Payments & Commerce team. The role involves designing and building next-generation analytical data products, ranging from instrumentation specifications to last-mile datasets and interactive visualizations. Key responsibilities include developing metrics layers for AI-driven inferences, establishing data quality frameworks like anomaly detection, and leading discovery workshops to synthesize requirements into technical specifications. The position requires expertise in SQL, Scala, and Python, alongside experience with Apache Spark, Kafka, Airflow, and CI/CD practices. Candidates must also apply Generative AI and LLM patterns to analytics use cases such as natural-language data exploration. This role addresses the complex challenge of providing trustworthy, privacy-first insights for digital payments and fintech transaction metrics within a high-standard production environment.

Skills

SQL Scala Python Apache Spark Kafka Airflow CI/CD Generative AI LLMs Data Warehousing Data Governance Metadata Management Data Visualization

What you'll do

Define data instrumentation specs and user flows to collect behavioral, transactional, and operational data.
Design and maintain scalable analytical last-mile datasets and data products.
Build a robust metrics layer to drive trustworthy insights and AI-driven inferences.
Establish data quality frameworks and anomaly detection to ensure accuracy across all products.
Develop interactive data visualizations using AI and modern tools for self-serve decision making.
Lead discovery workshops with domain experts to synthesize requirements into technical specifications.
Mentor and up-level junior engineers and team members on metrics and BI foundations.

What we're looking for

Bachelor's or Master's degree in Computer Science or a related technical field, or equivalent experience.
10+ years of experience designing, developing, and deploying next-generation data and AI-powered analytical products.
3+ years as a senior IC leading the development of data products, AI-enabled analytics, and visualizations across multiple lines of business.
Proficiency in SQL, Scala, and Python with hands-on experience in Spark, Kafka, Airflow, CI/CD, and version control.
Strong understanding of data warehousing, dimensional modeling, semantic layers, and metric standardization.
Experience applying Generative AI, LLMs, and agentic AI patterns to analytics use cases like insight generation and workflow automation.
Demonstrated ability to influence without authority across engineering and business teams with excellent executive communication skills.
Familiarity with digital payments/fintech data, conversational BI, and data governance (preferred).

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