Program Manager II, Tech | AI and Data Solutions – GSS | Field Data Full-time

About the Role

We are looking for a Program Manager to join the Global Scaled Solutions (GSS) team. Program Managers move fluidly from thinking about big-picture solutions to nailing the small details so the team can seamlessly deliver on strategic cross-functional projects, often with tight deadlines. You are a bridge and a connector for the team contributing to high-impact, high-visibility projects that keep us moving forward!

You are organized, detail-oriented, proactive, and driven to set the standard and deliver excellent results. The right person will thrive in an “all hands on deck” environment, loves optimizing for efficiency, and isn’t afraid to be the squeaky wheel when it comes to optimization and efficiency across the team. No task is beneath you.

You work collaboratively to help our teams work better and faster. You develop relationships with stakeholders at all levels of the organization and bring diverse perspective to the table. You build trust across the organisation. You are not afraid to drive teams to deliver results, and you act with empathy and integrity.

What the Candidate Will Do:

– Data Collection & System Management
– Lead the deployment and operation of various data collection projects including but not limited to App based, dashcam, LiDAR, ensuring that data is captured with high precision and accuracy
– Manage the calibration, configuration, and troubleshooting of sensors and related field equipment
– Manage field data collection activities, ensuring that data is captured according to predefined protocols for spatial resolution, point density, and system accuracy
– Conduct georeferencing and geospatial alignment of point clouds, ensuring data integrity and consistency across multiple sensors and platforms
– Develop and implement strategies for data acquisition and collection
– Data Quality Assurance & Processing
– Oversee the post-processing of data, including noise filtering, classification, feature extraction, and accuracy assessment
– Ensure proper data formatting and conversion for downstream integration with GIS and modeling software
– Program & Team Leadership
– Lead a multidisciplinary team of field technicians, specialists, and field coordinators to ensure the successful execution of complex data collection campaigns
– Design and implement training programs to ensure field teams are proficient in the operation of systems, sensors, data collection protocols, and safety procedures
– Manage team logistics, equipment deployments, and scheduling to optimize field operations and minimize downtime
– Provide technical leadership in troubleshooting complex field and system issues, ensuring minimal data loss and operational interruptions
– Technical Process Optimization & Innovation
– Continuously evaluate emerging technologies, data collection techniques, and processing workflows to improve operational efficiency and data quality
– Implement automation and batch processing workflows for data post-processing to streamline data handling and reduce manual interventions
– Logistics & Resource Management
– Oversee the logistical aspects of field operations, including the deployment of systems, sensors and other field equipment
– Ensure equipment is properly maintained, calibrated, and prepared for deployment, minimizing the risk of technical failures in the field
– Manage field data collection budgets, resources, and timelines, optimizing efficiency while ensuring high-quality outcomes
– Risk Management & Safety Compliance:
– Implement risk management strategies for data collection campaigns, particularly when operating in challenging environments
– Ensure that all field activities comply with relevant regulatory guidelines, data privacy laws, and health and safety standards
– Conduct pre-field assessments to identify potential hazards, equipment malfunctions, or environmental factors that could impact data collection operations
– Exceptional understanding of regulations around data collection across the globe

Basic Qualifications:

– 7+ years of experience in geospatial data collection and field operations, with at least 2 years of specialized experience in LiDAR data collection
– Extensive hands-on experience with LiDAR systems (e.g., Leica, Riegl, Velodyne) and point cloud data processing
– Experience managing large-scale field data collection programs, including coordinating teams and resources, managing logistics, and ensuring data accuracy and integrity.
– Proficient in LiDAR data processing software (e.g., Leica Cyclone, CloudCompare, TerraScan, ArcGIS) and point cloud analysis techniques.
– Deep technical knowledge of LiDAR technology, including sensor types, calibration methods, and data acquisition techniques.
– Expertise in point cloud data processing, classification, and analysis, including familiarity with algorithms for feature extraction and automated processing workflows.
– Advanced proficiency with GIS software (e.g., ArcGIS, QGIS, AutoCAD, Bentley) and geospatial data integration.
– Strong project management skills, with the ability to manage complex technical projects across multiple teams and stakeholders.
– Experience with mobile mapping technologies.
– In-depth understanding of geospatial data formats (LAS, LAZ, PTS) and data conversion tools
– Strong problem-solving abilities, particularly in the context of field equipment troubleshooting and data anomalies
– Able to drive insights based on information from disparate sources
– Excellent written and verbal communication skills with outstanding emotional intelligence
– Ability to influence and empower people across a variety of job functions through your relationships
– Outstanding organizational skills with the ability to balance many tasks without losing sight of the highest-priority items
– Strong bias towards action. You drive end-to-end results and are always thinking ahead
– Obsessive attention to detail and you are constantly looking for ways to tweak and optimize for better results

Preferred Qualifications:

– Worked at a high-paced, fast-growing tech startup, large tech company, or has a consulting background
– Direct the use of software tools for point cloud registration, alignment, and mosaicking
– Geospatial data integration and analysis
– Bachelor’s degree in Geospatial Sciences or a related technical field. A Master’s degree or advanced certification in LiDAR or remote sensing is highly preferred
– Knowledge of cloud-based geospatial data management platforms and automation tools for LiDAR data processing

For Sunnyvale, CA-based roles: The base salary range for this role is USD$125,000 per year – USD$139,000 per year.

You will be eligible to participate in Uber’s bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits).

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A).

Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.