Data Product TPM/EPM Leader - Wallet, Payments & Commerce Data Science & BI - Cupertino

Cupertino, CA 95014
  • Job Code
    200272375
Summary

Summary

Posted: Aug 4, 2021

Role Number:200272375

We are looking for a hardworking, passionate and results-oriented leader to join our WPC Analytics Data PMO Team and help drive the...Summary

Summary

Posted: Aug 4, 2021

Role Number:200272375

We are looking for a hardworking, passionate and results-oriented leader to join our WPC Analytics Data PMO Team and help drive the future of Data Science & Business Intelligence for Payments and Commerce across Apple.

As the new leader of the WPC Analytics PMO team, you will play a central role in delivering a high-impact project initiatives with our Payments, Commerce & Wallet teams. You will partner closely with your WPC teammates, business and engineering teams to define initial requirements, produce specifications, drive new data product features and ad hoc projects to completion. As a member of the leadership team reporting to the Director, you will be responsible for coordinating projects for new and existing features by identifying results, managing risk, and improving our processes while driving to successful outcomes.

The role requires detailed project planning, coordination, and execution of technical tools and systems development, the power to construct robust technical test plans, clear and concise communication skills, a comprehension of operational challenges, helping to scope improvements for future Wallet, Payments & Commerce initiatives, and working closely with partners from various internal teams such Data Engineering, Product, Marketing and Operations.

Key Qualifications

  • 12+ years of experience in a Technical Product Management role, preferably for a financial services, digital media or subscription business focused in the data space.
  • Experience leading a team of other EPM/TPM's including hiring, development and mentoring a team to success
  • Experience managing projects using Agile software development (e.g. Scrum or Kanban), and collaborating with multiple cross-functional teams. Have the experience to prioritize multiple, high-priority projects in a highly paced environment.
  • Utilize strong prioritization and project management skills, including timely and proactive communications of timelines, status, customer 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 demeanor, 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 skills, extraordinary attention to detail and ability to "translate " sophisticated concepts into language and context that are relevant to the business!
  • A track record of providing program management leadership during all phases of software/data product development from kick-off to ship, demonstrating critical thinking and thought leadership

Description

Lead 3 to 4 FTE EPM's and 10 contractors that are supporting the data product design and delivery process to help unlock analytics capabilities

Manage 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 new features Develop frameworks for instrumentation, attribution, and reporting across multiple platforms and tools.

Play a key role as an independent part of the Data Science & BI leadership team, working with your Data Science and Data Engineering peer colleagues to set team goals and roadmaps, including product and resource planning

Provide consulting expertise through effective communication to customers, partners, management, staff and peers to ensure expectations are met

Drive and improve the documentation of plans and processes, driving consistency and alignment across teams

Create systems to track and prioritize product needs and challenges

Education & Experience

Bachelor's degree or equivalent work experience in Engineering, Computer Science, or Business Information Systems. Advanced degree in related field preferred.

Additional Requirements

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Data Product TPM/EPM Leader - Wallet, Payments & Commerce Data Science & BI - Cupertino

Apple, Inc.
Cupertino, CA 95014

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