Role & responsibilities

1. 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.

2. 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 strong 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.

3. Continuous Improvement & Innovation

- Lead Root Cause Analysis (RCA) efforts and foster a strong, 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.

4. 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 quality standards.
- GenAI & Evaluation Familiarity: Experience with human-in-the-loop (HITL) evaluation frameworks, LLM/GenAI prompt testing, or data annotation pipelines is highly desirable.
- Analytical Skills: Demonstrated capability in data-driven decision-making, RCA methodologies, and metric tracking (Excel/Sheets, SQL, or dashboarding tools).
- Communication: Excellent verbal and written communication skills for cross-functional stakeholder alignment.

Note: ON PAPER TEAM LEADER Experience is mandatory. If you are interested please share your resume to [email protected]

Please do not apply if you dont have team leader experience

📌 Team Leader - Maps (Hyderabad)
🏢 Cognizant
📍 Hyderabad