Technical Project Manager – Wallet, Payments & Commerce, Data Science & BI

Apple
Apple

Job Overview

Key Qualifications

  • Demonstrated ability in a Technical Product Management role, preferably for a financial services, digital media or subscription business focused in the data space.
  • Experience managing projects using Agile software development (e.g. Scrum or Kanban), and collaborating with multiple multi-functional teams with the ability to handle multiple, high-priority projects in a highly demanding environment.
  • Strong prioritization and project management skills, including timely and proactive communications of timelines, status, issue partner concern
  • Strong written and verbal communication skills, building strong relationships with partners and teams around the organization. Ability to convey complex requirements in a clear, concise and credible manner
  • Deep analytical abilities, strong out-of-the-box thinking, curious business and technical attitude, and an ability to drive action
  • Leadership skills to influence partners and see projects through to timely completion in an agile environment
  • Knowledge of data pipeline design, with an understanding of integration and data transformation standard methodologies and BI product development lifecycle. Experience in ML product development preferred
  • Familiarity with web analytics and marketing optimization preferred; previous experience with client & server instrumentation and A/B testing a plus
  • Hands-on experience and proficiency with modern (Hadoop, Spark, Cassandra, Vertica, etc.) and traditional database technologies (Teradata, etc.) and data related programming languages (SQL & Python)!
  • Excellent analytical and problem solving skills, extraordinary attention to detail and ability to “translate “ complex concepts into language and context that are relevant to the business
  • Previous experience managing vendors/contractors, with previous PMO team management highly preferred
  • Description

    Manage the data product design and delivery process that unlocks analytics capabilitiesManage the process of instrumentation and dataset creation efforts for our Data Science team, collaborating closely with Business, Marketing, Client Engineering, Data Engineering and Privacy teams. Understand and define requirements to 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 teams to understand business processes and co-develop data requirements, instrumentation, aggregation, and induction for existing features Develop frameworks for instrumentation, attribution, and reporting across multiple platforms and tools. Partner with leadership to set team goals and roadmaps, including product and resource planning Provides consulting expertise through effective communication to customers, partners, management, staff and peers to ensure expectations are met Supervise information flow throughout the team, help leadership understand where the gaps are, suggest and execute fixes. Facilitate project retrospectives to collect feedback, draw out lessons learned, and document standard methodologies

    Education & Experience

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

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