Senior Data Collection Lead

The successful candidate will have excellent analytical and communication skills, a hands-on “no task too big or small” approach, and will thrive in high pressure, high performance data-driven organizations. In this role you will work full time, on site with our growing data collection, user research, SW engineering, and CVML research teams. This position involves hands-on data collections at scale, and know-how to leverage critical observational skills while gathering data directly and indirectly through teams. You’re hands on, comfortable working independently, but also thrive collaborating with highly technical teams on accelerated timelines. Success involves being detail oriented, self- motivated, having a high tolerance for change/ambiguity in partnerships with a strong sense of empathy for your team and participants. Your success is heavily derived from the strength of your relationships. Your job responsibilities will include * Work with cross functional teams to develop data asks and privacy/confidentiality/safety/legal requirements. * Lead data collection solution development to transform complicated data asks and privacy/confidentiality/safety/legal requirements into a clear and executable data collection solution. * Define data collection HW/SW infrastructure specification and align with cross functional teams to ensure technical performance, usability, and stability. * Design and implement DC project management and risk control process. * Design and implement efficient budget management and cost control. * Design and implement continuous training plan to provide sufficient operation, protocol and HW/SW handling and clear documentations to DC teams. * Lead and supervise teams and data collection vendors to execute data collection and deliver complete and accurate data. * Develop data quality control process, monitor data quality and ensure data integrity throughout the data collection process. * Work with SW and CVML engineers to support data evaluation, curation, and annotation process. * Develop and drive the feedback loop from data consumers to data collection. * Drive process improvements across the organization to continuously improve the way we work.