Job Summary

This role focuses on delivering high quality map data production and validation for a global technology client in the hi tech domain ensuring accurate geographic information effective workflows and reliable outputs. The specialist collaborates with cross functional teams communicates clearly in English and operates fully on site in a day shift work from office model to support critical mapping solutions.

Responsibilities
- Review digital map data to ensure accuracy completeness and consistency across various regions and datasets aligning outputs with client standards and internal quality benchmarks.
- Analyze complex geographic information and attribute data to identify gaps anomalies and trends that could impact navigation location based services or downstream analytics.
- Execute standardized map production workflows using internal tools and platforms maintaining precise documentation of each processing step to support traceability and audits.




- Coordinate with cross functional stakeholders in a clear and fluent English communication style to clarify map data requirements resolve issues and align on delivery timelines.
- Apply domain expertise in hi tech mapping solutions to interpret technical specifications integrate new features and adapt workflows to evolving product needs.
- Maintain strict adherence to data security privacy and compliance guidelines while working with sensitive geographic datasets within the office environment.
- Optimize daily tasks by identifying opportunities for workflow simplification and proposing pragmatic improvements that enhance throughput and reduce rework.
- Validate map updates against multiple reference sources to confirm real world accuracy documenting findings and escalating critical discrepancies through defined channels.
- Assist in root cause analysis for map related defects by examining logs process steps and source inputs then suggesting corrective and preventive actions.
- Prepare clear and concise status

📌 SPE-Maps (Hyderabad)
🏢 Cognizant
📍 Hyderabad