Job Description
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
Bachelor’s 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
Qualifications
BA/BSc/HND
Experience Required
5 years
