True Anomaly seeks those with the talent and ambition to build the technology that secures it. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays; Parental Leave; Daily catered lunch and unlimited snacks for in-office employees 401(k) retirement plan, fitness reimbursement, and Dog Fridays Equity participation: Equity is included as part of our total compensation package, giving you an opportunity to share in the company’s success. *Do not apply to fixed term and temporary roles The Technical Program Manager, System Data Analysis serves as a technical data integrator across subsystem and system-level test activities, transforming engineering, test, and mission data into accurate, actionable insights before and after test campaigns. This role is focused on technical data integration & analysis, supporting test planning and execution by defining data-analysis approaches, preparing pre-test and pre-mission data products, coordinating data needs across engineering and test teams, and ensuring that instrumentation, telemetry, and other data systems support test objectives. Following test execution, this role leads data processing, analysis, synthesis, and reporting to support test assessment, anomaly identification, and technical decision-making. This position works closely with engineering, test operations, systems engineering, modeling and simulation, program leadership, customers, and other external stakeholders.



The successful candidate will combine strong technical data-analysis skills with the communication and organizational abilities required to coordinate across multiple teams, create transparent test outbriefs, manage the data sets’ integration across the program’s various needs, and flow relevant datasets and insights to the modeling and simulation team. Support data analysis across subsystem-, system-, ground-, and flight-test programs from pre-test planning through post-test assessment; develop analysis plans aligned with test objectives, requirements, success criteria, and expected system behavior. Define data products, processing workflows, analysis methods, and visualizations in coordination with engineering, test, instrumentation, telemetry, ground systems, and modeling and simulation teams. Review test plans, procedures, instrumentation, telemetry, and data‑acquisition approaches to ensure required data is available, usable, and traceable. Perform data ingestion, conditioning, synchronization, reduction, validation, and analysis; analyze time-series, telemetry, instrumentation, and performance data. Assess data quality, completeness, calibration, consistency, and traceability; compare measured results with requirements, predictions, simulations, reference cases, and expected system performance. Synthesize data across multiple subsystems and test sources to develop system‑level conclusions; Create technically rigorous test reports and executive‑ready outbriefs for engineering teams, leadership, customers,



and external stakeholders; Maintain analysis documentation, data dictionaries, scripts, plots, and traceability; manage deliverables, dependencies, risks, and data limitations; support readiness, post‑test, anomaly, and other technical reviews while improving repeatability through automation, standardized data products, and configuration management. Bachelor’s degree in aerospace, mechanical, electrical, or computer engineering, applied mathematics, physics, data science, or a related technical field Demonstrated experience processing and analyzing data from engineering, ground, flight, or integrated system activities, including time-series, telemetry, instrumentation, data‑acquisition, or other engineering datasets. Demonstrated experience with MATLAB and Simulink skills for data processing, analysis, visualization, modeling, and simulation, with experience integrating with or analyzing C/C++-based system models. Ability to understand model inputs, outputs, interfaces, configuration parameters, and implementation assumptions. Understanding of data‑processing workflows, including filtering, conditioning, synchronization, calibration, reduction, validation, visualization, and assessment of data quality, completeness, and consistency. Ability to synthesize data from multiple subsystems and compare measured results with requirements, models, simulations, predictions, or expected system performance. Strong technical writing, presentation, and communication skills, including experience creating test reports, technical briefings, and outbriefs for technical and non‑technical audiences. Demonstrated ability to coordinate across engineering, test, operations, modeling and simulation,

📌 Technical Program Manager, System Data Analysis (Quinte West)
🏢 True Anomaly
📍 Quinte West