Job Summary:

- We are seeking a highly skilled Technical Project Manager (TPM) 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, including geocoding, transit data management, and Points of Interest (POI) collection.

- The TPM will work closely with the Head of GIS and cross functional teams to streamline current processes, enhance automation, and drive operational excellence.

JOB DUTIES & RESPONSIBILITY:

- Develop and execute 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 and enforce best practices in data collection and quality assurance.

- Work closely with the Head of GIS to 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.

- Ensure that all geospatial data workflows comply with industry standards, regulations, and best practices.

- Maintain documentation on workflow improvements, automation processes, and best practices for knowledge sharing across the team.

- Stay up to date with emerging trends in GIS, big data, and automation technologies, ensuring the adoption of cutting-edge solutions.

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, and automated 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, with the ability to influence technical and non technical teams.

Preferred Qualifications (Good to Have):

- 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.