Technical Lead

Overview

Leads the day-to-day annotation operation at Valeo Chennai. This person is Valeo's single point of contact for the team, owns allocation, tracking and reporting, and drives the team from the pilot baseline towards Valeo's scaled throughput objective without loss of quality.

Work location

Onsite at Valeo's Chennai premises.

Working pattern

5 days per week, Valeo site calendar and hours

Responsibilities

Key responsibilities

• Allocate and priorities daily work in line with Valeo's batches, by engineer capacity and scene type.
• Track productivity, throughput and quality against agreed targets: scenes per engineer per day, accepted scenes per week, first-pass acceptance, rework rate and turnaround.
• Act as first point of contact for Valeo's Project Manager and Annotation / Data Lead. Raise guideline clarifications and route tool issues, with their time impact, to Valeo's tool owner.
• Publish the daily status and weekly performance report and maintain the productivity and quality dashboard.
• Lead onboarding, training, calibration on gold scenes, guideline adherence and coaching of the team.
• Run the daily stand-up. Take part in weekly reviews and in monthly or milestone reviews with Valeo.
• During the pilot, measure the baseline (time per scene, scenes per engineer, QC effort), identify bottlenecks and propose process improvements and staged volume increases.
• Manage L1 escalations and maintain the issue, dependency and clarification logs. Flag changes in scope, guidelines or volume for change control.
• 10–12 years in IT or data services, including at least 3 years leading data annotation, data labelling or data QA teams.
• Experience setting up and tracking productivity and quality KPIs, and reporting to customer stakeholders.
• Strong customer-facing communication; comfortable working onsite in a client environment.
• Advanced Excel or reporting skills for trackers and dashboards.

Good to have

• Automotive ADAS or autonomous-driving perception data (camera, radar, sensor fusion).
• Experience with Xtreme1 or similar tools
• Quality frameworks: sampling plans, defect severity models, root-cause analysis.