Role & responsibilities
Operational & SLA Management
Manage a team of data evaluators to consistently meet or exceed contractual SLAs, KPIs, and KRAs (e.g., accuracy, throughput & quality scores).
Maintain operational efficiency and effectiveness across all geospatial and GEN AI evaluation workflows.
Monitor daily team performance, and implement targeted action plans to closure.
Quality, Policy & Stakeholder Engagement
Partner closely with Quality Control (QC), Policy Engagement, and Product teams to align operational output with evolving mapping policies and ground-truth standards.
Manage metrics and enhance their utility by establishing solid correlations between data quality scores and overall user/customer satisfaction.
Conduct pre-emptive and predictive analysis to reduce error recurrence and shift operations toward proactive issue prevention.
Continuous Improvement & Innovation
Lead Root Cause Analysis (RCA) efforts and foster a solid, data-driven deep-dive culture within the team.
Identify workflow bottlenecks, policy ambiguities,



and optimization opportunities; collaborate with engineering and technical teams to develop automated solutions.
Drive workflow and policy change management seamlessly across the team.
People Management & Development
Manage team performance through continuous feedback and individualized coaching.

Drive skill enhancement through structured knowledge sharing, cross-training on specialized mapping toolsets, and project rotations

Preferred candidate profile
Education: Bachelors degree in Geography, GIS, Science, Engineering, Commerce, Management, Computer Science, or a related field.
Experience: 5+ years of experience in Google operations(Maps & COMO) or data evaluation environments, including at least 2 years of direct team management experience.
Geospatial / Maps Domain Knowledge: Solid understanding of spatial/geographic concepts, Points of Interest (POI) data, and location-based data qu

📌 Team Leader Hyderabad (India)
🏢 Cognizant
📍 India