Geospatial Data Process Optimization Lead

1 day ago

Haryana, India beBeeGeospatial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Geospatial Data Process Optimization Lead

We are seeking a skilled professional to lead process optimization and automation efforts within our GIS team. The ideal candidate will be responsible for designing and implementing efficient workflows for large-scale geospatial data collection processes.

The successful candidate will work closely with cross-functional teams to streamline current processes, enhance automation, and drive operational excellence in the field of geospatial data processing.

JOB DUTIES & RESPONSIBILITIES:

  • Develop strategic plans to optimize geospatial data collection workflows across multiple products.
  • Identify bottlenecks and inefficiencies in existing processes and implement automation solutions to improve data ingestion and management.
  • Collaborate with GIS engineers, data analysts, and product managers to define best practices in data collection and quality assurance.
  • Establish process improvements, scalability strategies, and cost-effective solutions for handling large geospatial datasets.
  • Drive the automation of manual workflows, ensuring consistency and accuracy in data processing pipelines.
  • Evaluate and integrate third-party tools, APIs, and data sources to enhance data collection efficiency.
  • Build and mentor a team of GIS specialists, automation engineers, and data experts to support process automation initiatives.
  • Define and track KPIs related to workflow efficiency, data accuracy, and automation success.
  • Maintain documentation on workflow improvements, automation processes, and best practices for knowledge sharing.
  • Stay up-to-date with emerging trends in GIS, big data, and automation technologies.

QUALIFICATION & SKILLSET:

  • 5-7+ years of experience in technical project management, process optimization, or automation within data-intensive environments.
  • Strong understanding of large-scale data workflows, data ingestion, and process optimization.
  • Proven experience in leading cross-functional teams and managing stakeholders across engineering and business units.
  • Experience in implementing process automation tools and methodologies.
  • Ability to translate complex workflows into scalable, efficient systems.
  • Strong analytical skills with experience in data-driven decision-making and KPI tracking.
  • Familiarity with agile methodologies, sprint planning, and project execution.
  • Excellent communication and leadership skills.

Preferred Qualifications:

  • Prior experience in GIS, geospatial data processing, or location-based services.
  • Basic programming background (Python, SQL, or scripting languages) for process automation.
  • Experience working with big data technologies (PostGIS, Snowflake, DuckDB, or similar).
  • Exposure to cloud-based GIS platforms and APIs.
  • Knowledge of ETL processes, data pipelines, and geospatial analytics.

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