Back to search
Description
In this role, you will own the vision, strategy and execution of large-scale data operations; growing and developing a team of talented engineers while driving alignment across hardware, software, infrastructure and algorithm organizations. A deep understanding of data collection and user study fundamentals, proven people leadership and a strong command of Apple's product ecosystem will be critical to succeeding in our highly dynamic and cross-functional landscape.
Minimum Qualifications
BS and a minimum of 10 years relevant industry experience 3+ years of direct people management experience with a demonstrated track record of building and developing high-performing technical teams Willingness and ability to travel to Apple and vendor study locations a minimum of 10–15% of the year Ability to work in an office environment a minimum of 3 days per week
Preferred Qualifications
Experience scoping, bidding and contracting third-party vendors for short and long-term projects at scale Strong background in creating complex roadmaps/schedules with timely delivery across key milestones and multiple concurrent work streams Exceptional cross-functional influence; a track record of driving alignment and outcomes across engineering, operations and research organizations without direct authority Motivated and proactive approach to resolving issues and anticipating organizational needs before they become blockers Challenges the Status Quo: in the absence of process, create it, document it and socialize it. When the process doesn't make sense, drive innovation; when faced with a difficult problem it's not about what we can't do but rather "Yes, but-" Clear and concise written and verbal communication; able to adapt style fluidly for executive audiences, technical engineers and external vendor partners alike Sound technical troubleshooting and triage methodology with experience overseeing pre-release hardware and software platforms Experience creating human-centric data collection protocols and general data offload practices
Learn more about this Employer on their Career Site
