Project Manager - Aerial Geospatial Operations & Delivery

Robotic Data is seeking an experienced Project Manager to lead end-to-end aerial data collection and geospatial delivery programs. This role owns project execution from planning and airborne collection through processing, QA/QC, delivery, and client acceptance. The successful candidate will bridge technical collection teams, delivery operations, and clients while ensuring projects remain on schedule, within budget, and aligned to operational and quality objectives.

Responsibilities

• Lead full lifecycle management of aerial geospatial programs from planning through final delivery.
• Own aerial collection operations including scheduling, flight coordination, collection readiness, and field execution either directly or via the Robotic Data partner network.
• Manage delivery teams responsible for imagery, LiDAR, photogrammetry, GIS, and mapping outputs.
• Develop and maintain project plans, schedules, budgets, and resource forecasts.
• Utilize Smartsheet to manage dependencies, dashboards, schedules, reporting, and governance.
• Coordinate cross-functional teams across operations, processing, engineering, and client delivery for multiple Partners.
• Track project financials including forecasting, invoicing, margin performance, and collections.
• Implement project KPIs and executive reporting.
• Drive QA/QC processes and client acceptance.
• Identify operational risks and implement mitigation plans.
• Support proposals, estimates, and business development activities.
• Travel up to 10% as required.

Requirements

• Bachelor’s degree or equivalent professional experience.
• Minimum 5 years’ project management experience or 10 years’ related experience.
• 8–10+ years of geospatial, aerial mapping, or remote sensing experience.
• Deep understanding of aerial mapping, remote sensing, LiDAR, imagery, GIS, and photogrammetry workflows.
• Experience in managing field operations and geospatial delivery teams.
• Strong financial, organizational, and stakeholder management skills.
• Smartsheet experience required.
• Excellent communication and leadership capability.

Nice to have

• PMP preferred.
• ASPRS CP, CMS, or GISP certification preferred.
• Experience supporting machine learning and large-scale mapping initiatives.
• Experience working across distributed global teams.

Benefits

• Benefits: As required by law