Data Products & Business Intelligence Lead

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 15 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $198k

$152k most similar roles pay here $244k

This listing doesn't post a salary. Most similar roles pay $160,590–$235,187.

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.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Data Products & Business Intelligence Lead

Role Posting Log in to save

The Data Products & Business Intelligence Lead - Wallet, Payments & Commerce is a senior individual contributor role focused on building the next generation of analytical data products for the Wallet, Payments & Commerce business area. You will design instrumentation specifications, develop scalable last-mile datasets, and build a robust metrics layer to power AI-driven inferences and interactive visualizations. The role involves collaborating with product, engineering, and design teams to translate complex requirements into technical specifications while ensuring high standards of accuracy and privacy compliance. Required skills include proficiency in SQL, Scala, and Python, along with experience in Apache Spark, Kafka, Airflow, and CI/CD practices. You will also apply Generative AI and LLM patterns to analytics use cases like natural-language data exploration. The work centers on solving complex problems within the digital payments and fintech domain.

Skills

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

What you'll do

Define data instrumentation specs and user flows to collect behavioral, transactional, and operational data.
Design, develop, 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 data product development.

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 Apache Spark, Kafka, Airflow, CI/CD, and version control.
Strong understanding of data warehousing, dimensional data 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).

Similar roles