Job 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. 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

Requirements

Must-haves

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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aisqlpythonci/cd

Platform: apple
Effort: medium