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Data Product Manager - Wallet & Apple Pay - NYC at Apple (New York, NY)

Looking for a hardworking, passionate and results-oriented individual to join our team and play a key role leading data product management and partnering w/ data scientists and data analysts as we deliver new insights to craft the future of Wallet & Apple Pay. Your role will be instrumental as it provides a crucial foundation on which analytics will be performed. 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 and design, engineering, and business teams: our mission is to drive innovation through deep quantitive analysis.

Reporting to the head of Wallet Payments & Commerce Data Engineering & BI, this person will be responsible for client instrumentation/tagging of product features, design & implementation of required data structures, data induction, and reporting & analytics for key commerce and payments projects including Apple Pay. In this role you will work closely with engineering and business as you drive data requirements and manage the data lifecycle ensuring all data needs are met to deliver groundbreaking insights for feature development and business insights.

Engage with the business, engineering, product management teams as a thought partner

Lead all instrumentation/tagging efforts for commerce within Wallet & Apple Pay

Dive deep into the large-scale data to identify key insights that will inform product improvements and business strategy.

Partner with other Apple organizations on data gathering, data governance, redefining data with reporting tools and evangelizing critical metrics.

Conducting regular and ad-hoc analyses, data mining and predictive analytics to provide leadership with measurable insights at tactical and strategic levels related to product and service usage and experience.

Design and develop highly polished and functional Tableau dashboards to support pathing analytics and product/feature usage, and work with data engineering teams on designs for higher level self service tools.

Quickly outline and build customized analyses for leadership

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