Team Leader - Maps

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: Strong 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 removed]

Please do not apply if you dont have team leader experience