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Apple Technical Data Product Manager, Apple Media Products - NYC in New York City, New York

Technical Data Product Manager, Apple Media Products - NYC

New York City,New York,United States

Software and Services

  • 5 years of experience in a Technical Product Management role, preferably for a digital media or subscription business.

  • Proficient in SQL languages, Python, R, required

  • We seek significant hands-on experience and proficiency with big data and traditional database technologies (Hadoop, Spark, Cassandra, Vertica, and relational databases, such as Teradata)

  • Knowledge of data pipeline design, with an understanding of integration and data transformation best practices

  • Experience with dataset design and specification creation, including projections, aggregates and reference tables

  • We value experience in building out a data strategy or framework for many different downstream use cases.

  • Excellent social skills including the ability to convey complex requirements in a clear, concise and credible manner

  • Strong prioritization and project management skills, including timely and proactive communications of timelines, status, issue partner concern

  • Deep analytical abilities, strong out-of-the-box thinking, curious business and technical mentality, and an ability to drive action

  • Extreme attention to detail and ability to self-audit work

  • Perform root cause and impact analysis to investigate data issues and make recommendations for potential solutions

  • Leadership skills to influence partners and see projects through to timely completion in an agile environment

  • Familiarity with web analytics and marketing optimization preferred; previous experience with instrumentation and A/B testing a plus

  • Experience delivering large, complex projects from end-to-end


Lead instrumentation and dataset creation efforts for AMP Business & Marketing Data Science, collaborating closely with Business, Marketing, Client Engineering, Data Engineering and Privacy teams Migrate/induct/enrich data from production into downstream data warehousing environments for consumption by analytics tools and products, data scientists, and analysts Work with privacy, engineering & data engineering teams to understand business processes and co-develop data requirements, instrumentation, aggregation, and induction for new and existing features Perform ad-hoc analytics on new metrics and datasets to troubleshoot and resolve issues Collaboration with other technical team to design a data landscape for general downstream consumption Develop frameworks for instrumentation, attribution, and reporting across multiple marketing channels Your creative solving skills will be utilized daily

Education & Experience

Bachelor's degree or equivalent work experience in Engineering, Computer Science, or Business Information Systems

Additional Requirements

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