AIML - Manager, Data Collections

$200,400 - $301,400/Yr

Apple - Cupertino, CA

posted 2 months ago

Full-time - Mid Level
Cupertino, CA
Computer and Electronic Product Manufacturing

About the position

The AIML Data Operations team at Apple is seeking a proven people and project manager to thrive in a fast-paced environment. This role involves engaging with various teams across Apple's ecosystem to deliver high-quality data for machine learning algorithm development. The successful candidate will oversee data collection pipelines, manage project timelines, and ensure that datasets meet quality expectations while providing leadership and technical expertise throughout the data request lifecycle.

Responsibilities

  • Collaborate with engineering and annotation teams to deploy scalable data collection pipelines in production.
  • Plan and track delivery timelines for data requests.
  • Provide technical expertise and leadership throughout the data request life cycle.
  • Deliver monthly volume forecasts and capacity planning.
  • Handle resource and vendor management.
  • Oversee operational responsibilities including workflow management and process improvement.
  • Track quality assurance status and training needs.
  • Engage with stakeholders to clarify quality, data, and testing requirements.
  • Discuss edge cases and receive early quality feedback for new data collections.
  • Coach, mentor, and lead the project management team.

Requirements

  • Bachelor's of Science degree.
  • 8+ years of industry experience in data management.
  • Proven ability to deliver quality data within project timelines.
  • Experience in coaching, leading, and motivating a project management team.
  • Strong client management skills and ability to build relationships.

Nice-to-haves

  • Experience managing complex data collection and annotation projects.
  • High degree of adaptability and flexibility.
  • Creative decision-making and technical problem-solving abilities.
  • Strategic thinking with the ability to work with ambiguity.
  • Focus on improving, standardizing, and automating processes.
  • Strong interpersonal and communication skills.

Benefits

  • Comprehensive medical and dental coverage.
  • Retirement benefits.
  • Discounted products and free services.
  • Reimbursement for certain educational expenses, including tuition.
  • Opportunity to participate in employee stock programs.
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