
Data Optimization Lead
2 days ago
We are seeking a highly skilled Technical Project Manager to lead process optimization and automation efforts within our organization.
The ideal candidate will design and implement efficient workflows for large-scale data collection processes, including geocoding, transit data management, and Points of Interest collection.
The TPM will work closely with 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 engineers, analysts, and product managers to define and enforce best practices in data collection and quality assurance.
- 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 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 across the team.
QUALIFICATIONS AND SKILLSET:
- A minimum of 5-7+ years of experience in technical project management, process optimization, or automation within data-intensive environments.
- A 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.
- An 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.
PREFERRED QUALIFICATIONS:
- Prior experience in GIS, geospatial data processing, or location-based services.
- A basic programming background for process automation.
- Experience working with big data technologies.
- Exposure to cloud-based GIS platforms and APIs.
- Knowledge of ETL processes, data pipelines, and geospatial analytics.
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