Remote | Strategic Project Lead, Robotics

We are sharing a specialised full-time remote opportunity for an experienced Strategic Project Lead with strong expertise in robotics data operations, large-scale data pipelines, sensor hardware systems, technical project delivery, and cross-functional execution to lead complex robotics data initiatives from initial capture through final delivery.

The selected professional will take end-to-end ownership of robotics data pipelines, coordinating hardware deployment, data collection, processing, validation, and client delivery. The role combines hands-on technical understanding with operational leadership, systems optimisation, and strategic project management to build scalable, efficient, and high-quality robotics data operations.

• Own end-to-end robotics data pipelines, from initial data capture through processing and final delivery.
• Establish clear operational accountability for data quality, throughput, and delivery requirements.
• Design and optimise large-scale data collection and processing workflows.
• Monitor pipeline performance and identify opportunities to improve scalability and reliability.
• Ensure data operations meet defined technical specifications and project objectives.

• Coordinate the deployment and operation of robotics data capture hardware.
• Work with multi-camera rigs, RGB sensors, stereo imaging systems, and inertial measurement units (IMUs).
• Address frame-rate (FPS) constraints and hardware-related data collection requirements.
• Define and maintain consistent capture protocols and operational procedures.
• Collaborate with technical teams to improve hardware utilisation and data capture efficiency.

• Lead data transformation workflows aligned with client-defined schemas and delivery formats.
• Establish validation procedures to maintain data accuracy, completeness, and consistency.
• Identify processing bottlenecks and implement solutions to improve pipeline performance.
• Develop or coordinate automation for data validation, quality assurance, and operational reporting.
• Support reliable data storage, processing, and delivery across high-throughput workflows.

• Design operational processes capable of supporting increasing data volumes and project complexity.
• Balance cost, quality, processing speed, and throughput when evaluating operational decisions.
• Identify opportunities to improve resource allocation and reduce workflow inefficiencies.
• Establish measurable operational standards and performance reporting practices.
• Drive continuous improvements that support the transition from initial projects to scalable production operations.

• Translate client requirements into executable technical workflows, milestones, and deliverables.
• Coordinate engineering, operations, and finance stakeholders to support effective project execution.
• Manage delivery priorities, technical dependencies, and operational timelines.
• Communicate project performance, requirements, and implementation decisions clearly to stakeholders.
• Take ownership of complex technical initiatives and drive projects toward successful delivery.

• Strong professional experience in robotics data operations, technical data infrastructure, or high-throughput data pipelines.
• Demonstrated ability to manage complex technical projects from planning through delivery.
• Hands-on familiarity with robotics data acquisition and sensor-based systems.
• Experience working with multi-camera configurations and RGB or stereo imaging systems.
• Understanding of inertial measurement units (IMUs), FPS constraints, and sensor data capture requirements.
• Strong knowledge of large-scale data collection, processing, storage, and delivery systems.
• Experience designing and optimising technically complex data pipelines.
• Ability to define data schemas, technical specifications, and processing requirements.
• Practical understanding of data transformation and validation workflows.
• Experience establishing capture protocols and operational standards.
• Strong analytical skills with the ability to balance cost, speed, quality, and throughput.
• Demonstrated experience identifying operational bottlenecks and improving technical workflows.
• Familiarity with data quality assurance, automated validation, and reporting systems.
• Proven ability to lead cross-functional initiatives involving engineering and…