Aiml Data Collections Technical Project Manager

Apple Apple · Big Tech · Cupertino, CA +1 · Software and Services

This role is for a Technical Project Manager on the AIML Data Collections team at Apple. The primary responsibility is to plan, execute, and manage data collection projects that provide high-quality data for ML algorithm development. The role involves working closely with ML engineering teams and managing project portfolios from intake to delivery.

What you'd actually do

  1. Successfully overseeing the outcomes of projects via delivery of agreed-upon assets to requesting clients
  2. Enabling the flow of critical project information across the ecosystem of engineering teams and leadership, and AIML DC managers and leadership, vendors & contractors.

Skills

Required

  • Bachelor of Science or equivalent degree
  • 8+ years experience managing technical projects or programs including large, cross-functional initiatives across global teams
  • Excellent program management skills including program structuring, timeline & resource planning, vendor management and managing multiple work streams interdependently
  • Strong verbal, analytical, presentation and written communication skills.
  • Able to manage high-level stakeholder meetings effectively.
  • Ability to disambiguate requirements and negotiate with other teams effectively
  • Expertise navigating systems and tools, sharing best practices with team members

Nice to have

  • Love Data!
  • Be a real people person!
  • Thrive in a fast paced environment and maintain a good working relationship with key project stakeholders
  • Excellent in teamwork and relationship building.
  • Works to establish a collaborative working environment.
  • Will go above and beyond to get the job done.
  • Communicate issues proactively across teams and demonstrate flexibility and adaptability to changing workflows and processes
  • Have a high degree of resourcefulness, flexibility, creative decision-making, and problem-solving abilities
  • Proven attention to detail and critical thinking skills, demonstrating integrity and focus on customer privacy
  • Automated data validation experience using ML technologies is a strong advantage
  • Experience with Python, GIT or other source control & programming languages is an advantage

What the JD emphasized

  • delivering high-quality data
  • ML algorithm development
  • data collection projects
  • Automated data validation experience using ML technologies is a strong advantage