Manager, Pilot Team

Client Partnership & Solutioning

• Support client discovery sessions to understand dataset needs workflow rules and ML objectives.
• Translate client requirements into workflows annotation guidelines taxonomies and quality frameworks.
• Provide clients with delivery updates performance insights and workflow recommendations.
• Support solution scoping demos proposal inputs and client clarifications.
• Identify opportunities to improve or expand existing programs.

Program Delivery Management

• Oversee daily execution of assigned AI/ML Computer Vision AV/ADAS and related data workflows.
• Ensure delivery against agreed KPIs SLAs accuracy throughput quality and timelines.
• Manage onboarding calibration guideline updates workflow transitions and production readiness.
• Work with Delivery Leads to ensure staffing training tool readiness and operational consistency.
• Maintain accurate documentation and clear process controls across teams.

Quality Analytics & Performance Management

• Build and maintain reports and dashboards to track accuracy productivity error trends latency and overall program performance.
• Conduct root-cause analysis for quality issues and work with QA and Training teams to implement corrective actions.
• Use data insights to improve annotation quality reduce rework and strengthen delivery outcomes.
• Present clear performance updates to clients and internal stakeholders.

Cross-Functional Collaboration

• Partner with QA Training Delivery Technical Operations Business Development and client-facing teams.
• Support pilot setup workflow testing guideline refinement schema changes and ontology updates.
• Ensure delivery teams understand and apply updated instructions and quality standards.

Continuous Improvement

• Recommend workflow improvements based on data trends client feedback and team input.
• Support automation opportunities such as pre-labeling AI-assisted annotation QC automation and improved audit methods.
• Promote consistent ways of working strong calibration practices and continuous improvement across programs.

Qualifications :

• Bachelors degree in Computer Science Information Systems Engineering Data/AI Business Operations or a related field.
• Minimum 5 years of relevant experience in AI/ML operations data annotation technical delivery program management BPO or related operational environments.
• Experience managing or supporting annotation workflows AI data pipelines computer vision AV/ADAS robotics or autonomous systems is highly preferred.
• Proven experience working in client-facing KPI-led technical delivery environments.
• Experience leading teams managing escalations improving workflows and delivering against quality and productivity targets.

Additional Information :

The successful candidate should have strong working knowledge of AI/ML data operations including some or all of the following:

• 2D and 3D Computer Vision annotation
• NLP workflows
• LiDAR and RADAR datasets
• AV/ADAS data workflows
• Robotics or autonomous systems data
• Data quality and its impact on machine learning model performance

Experience with annotation platforms such as Deepen Segment Kognic Dataloop CVAT or similar tools is preferred.

Remote Work :

No

Employment Type :

Contract