Senior Quality and Process Manager

Job description

Job responsibilities

• Own the data-quality metrics. Own accuracy, consistency, rework rate, first-pass yield, and the accept-rate every lane is measured against, and report them to leadership.
• Make the acceptance bar a written contract. Publish a versioned acceptance standard and a defect taxonomy every site grades against, so good is defined, not argued.
• Build the QA and audit system. Stand up the review pipeline, audit process, and escalation workflow that catch problems on the floor and at annotation, every day.
• Close the loop with operators fast. Run a feedback turnaround quick enough to change operator behavior the same week, and turn edge cases into guideline updates.
• Engineer and standardize the process. Turn how we collect into documented, repeatable work, so each site and station ramps faster than the last.
• Translate model needs into the bar. Be the point of contact between collection, QA, and the model team, turning what the model needs into clear acceptance criteria.

Job requirements

• You have owned data quality and process at a serious operation. Five to ten years leading data, quality, or operational teams.
• Metric-driven and analytical. You diagnose quality issues from data and ship corrective actions. Standard work, root-cause, and continuous improvement are how you think.
• You have built, not inherited. You have stood up a quality function and an acceptance standard where none existed.
• A quality-first mind, without becoming the bottleneck. You hold a hard bar and still keep the line moving.
• Robotics or sensor-data fluency. Experience with robotics, autonomy, or sensor-derived data is a strong plus.