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Data Products & Business Intelligence Lead - Wallet, Payments & Commerce

Apple· Wallet, Payments & Commerce
Apply on company site
Hybrid (Cupertino, CA; Austin, TX; Cary, NC)$216.2k - $324.8kFull-timePosted 1mo ago

About the role

Design and build the next generation of analytical data products for Apple's Wallet, Payments & Commerce—from instrumentation specs to last-mile datasets and interactive visualization. Lead end-to-end delivery of scalable, privacy-first analytics platforms that power trusted insights across the organization, collaborating with product, design, engineering, and business teams.

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
  • 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, mentoring junior engineers and team members

Qualifications

  • 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
  • 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
  • Strong understanding of data warehousing, dimensional data modeling, semantic/metrics layers, and metric standardization
  • Experience applying Generative AI/LLMs and agentic AI patterns to analytics use cases such as insight generation, natural-language data exploration, and workflow automation
  • Demonstrated ability to influence without authority across engineering and business teams
  • Excellent executive communication skills with both technical and non-technical audiences
  • 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
  • Experience working closely with data engineering and platform teams to align on data models, and infrastructure/platform requirements
  • Proven record in leading junior engineers to build metrics or BI foundation

Skills

Required:SQLScalaPythonApache SparkKafkaAirflowData WarehousingMetrics/Semantic LayerGenerative AI / LLMs
Nice to have:Data Governance / Metadata

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational expense reimbursement (tuition)
  • Discretionary bonuses or commission opportunities
  • Relocation support (if applicable)
  • Employee stock programs (RSUs and stock purchase plan)
Last updated Sep 18, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
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