Data Collection Lab Manager

Generalist is looking for a Data Collection Lab Manager to lead and evolve the operations behind our on-site data collection efforts. You’ll act as a shift leader to own the systems, processes, and team responsible for delivering high-quality data that supports model development across the organization. This is a highly operational, hands-on, in-lab role for someone who enjoys building structure in ambiguous environments, improving systems over time, and leading teams with high standards and accountability. The right person for this role is equally comfortable jumping into operational problems, managing people, improving process quality, and building the infrastructure needed to scale reliably.

Responsibilities

Own the refinement and execution of day-to-day DataLab operations and ensure reliable, high-quality data delivery; Manage task rollout and retirement scheduling based on organizational priorities; Establish and improve QA processes to maintain high data quality standards; Identify operational bottlenecks and implement scalable process improvements; Oversee device and hardware management to ensure uninterrupted lab operations; Manage lab inventory including ordering, receiving, storage, distribution, and removal; Maintain operational oversight of data custody, tracking, reporting, and issue investigation; Build and maintain operational systems, trackers, reporting cadences, and documentation; Recruit, hire, and onboard high-performing data collection staff; Support and manage lab leads in day-to-day operational execution; Coach, mentor, and develop DataLab employees; Build a strong operational culture centered around ownership, reliability, and continuous improvement; Help define team structure and operational processes as organizational needs evolve

Requirements

5+ years of experience in high-performance operational environments with significant ownership and accountability; Experience managing teams in fast-moving or semi-structured organizations; Strong operational instincts and attention to detail; Proven ability to build processes and improve systems in ambiguous environments; Excellent written and verbal communication skills; Strong interpersonal and people leadership skills; Comfortable using metrics, operational reporting, and process tracking to drive decisions; High reliability, strong follow-through, and a consistent ownership mindset

Nice to have

Experience managing physical operations, labs, logistics, or production environments; Experience with QA or operational quality systems; Startup experience; Familiarity with AI/ML data operations or human-in-the-loop workflows