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 Technical Project Manager - Wallet, Payments & Commerce Data Science & BI - - Austin, Texas, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Software Engineer
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200223434 / Latpro-3773942 
Date posted: Feb-18-2021
State, Zip: Texas, 78729


Technical Project Manager - Wallet, Payments & Commerce Data Science & BI - Austin

Austin , Texas , United States

Software and Services


Posted: Feb 18, 2021

Role Number: 200223434

We are looking for a hardworking, passionate and results-oriented Project Manager 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 a member of 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 to completion. As a member of our team, you will be responsible for coordinating projects for new and existing data product features by identifying work, 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 ability to construct robust technical test plans, clear and concise interpersonal skills, an understanding of operational challenges, helping to scope improvements for future Wallet, Payments & Commerce Data Science & BI initiatives, and working closely with partners from various internal teams such Data Engineering, Product, Marketing and Operations.

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, 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 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


Manage the data product design and delivery process that unlocks 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 engineering teams to understand business processes and co-develop data requirements, instrumentation, aggregation, and induction for new and existing features Develop frameworks for instrumentation, attribution, and reporting across multiple platforms and tools. Guides through effective communication to customers, partners, management, staff and peers to ensure expectations are met Monitor 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 Document of plans and processes, driving consistency and alignment across teams Create systems to track and prioritize product needs and challenges Track projects, timelines and commitments on internal projects and customer work

Education & Experience

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


See job description


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