Data Products & BI 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.rtunity 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:

Define data instrumentation specs, user journeys, and interaction flows to systematically collect behavioral, transactional, and operational data - enabling robust analytics and insightful reporting

Design, develop, and maintain scalable analytical last-mile datasets and data products for Wallet, Payments & Commerce

Design and build a solid metrics layer to drive trustworthy insights and AI-driven inferences

Establish data quality frameworks (e.g., anomaly detection) to ensure accuracy and consistency across all data products

Develop data visualizations leveraging AI and modern tools, as appropriate

Collaborate 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 delivery.

Lead discovery workshops with domain experts and synthesize requirements into wireframes, mockups, and development specifications

This 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.

Preferred Qualifications

Familiarity with digital payments 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

Minimum Qualifications

Bachelor's or Master's degree in Computer Science or a related technical field or equivalent experience

8+ years of experience in designing, developing and deploying next-gen Analytical Data Products.

3+ years as a senior IC leading the development of data products and visualizations across multiple lines of business.

Strong proficiency in SQL, Scala, Python with hands-on experience in data pipeline tools (e.g., Apache Spark, Kafka, Airflow), CI/CD practices, and version control.

Proficiency with cloud platforms (AWS, Azure, or GCP) and hands-on experience with modern data management and visualization platforms.

Strong understanding of data warehousing, data modeling (dimensional/star schemas), and metric standardization.

Demonstrated ability to influence without authority across engineering and business teams

Excellent Executive communication skills with both technical and non-technical audiences

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $212,000 and $318,400, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Client-provided location(s): Austin, TX

Job ID: apple-200654762-0157

Employment Type: OTHER

Posted: 2026-06-19T20:05:15