Senior Data Operations Engineering Lead

Apple, Inc.; Sunnyvale (CA); On-site; USD 184,000 - 320,000; Full time

Benefits offered by this job

Employee stock programs

Bonuses/commission

Relocation assistance

Comprehensive medical and dental care

Job summary

Apple, Inc. in Sunnyvale, CA, seeks a Senior Manager of Data Operations Engineering to lead a team responsible for large-scale data collection and user studies across hardware, software, and infrastructure.

You will own the vision, strategy and execution, grow and develop engineers, drive cross-functional collaboration with algorithm groups, and report program health to executives. International study work and travel of 10–15% may be required.

Qualifications

• BS degree and 10+ years of relevant industry experience.
• 3+ years of direct people management experience leading technical teams.
• Willingness to travel 10–15% and work on-site 3 days/week.

Responsibilities

• Lead, grow and inspire a team of Data Operations Engineers; set goals and develop team members.
• Own the strategic vision for data collection and user study operations; translate priorities into roadmaps and resource plans.
• Drive large-scale data collections and studies for algorithm development across domestic and international locations.
• Partner with senior leadership across hardware, software, infrastructure and algorithms to align on priorities.
• Oversee headcount planning, hiring, and onboarding; build a diverse, high-performing team.
• Ensure platform readiness and long-term maintenance of pre-release HW/SW platforms.

Skills

Data operations

People management

Cross-functional collaboration

Travel readiness

Education

Bachelor's degree

Job description

Apple, Inc. in Sunnyvale, CA, seeks a Senior Manager of Data Operations Engineering to lead a team responsible for large-scale data collection and user studies across hardware, software, and infrastructure.

You will own the vision, strategy and execution, grow and develop engineers, drive cross-functional collaboration with algorithm groups, and report program health to executives. International study work and travel of 10–15% may be required.