Technical Program Manager, System Data Analysis

True Anomaly•Denver, CO

2d•Hybrid

About The Position

The Technical Program Manager, System Data Analysis serves as a technical data integrator across subsystem- and system-level test activities. The role transforms engineering, test, and mission data into accurate, actionable insights before and after test campaigns. It supports test planning and execution by defining analysis approaches, preparing pre-test and pre-mission data products, coordinating data needs across teams, and ensuring instrumentation, telemetry, and other data systems support test objectives. After test execution, the role leads data processing, analysis, synthesis, and reporting to support test assessment, anomaly identification, and technical decisions. The position works closely with engineering, test operations, systems engineering, modeling and simulation, program leadership, customers, and external stakeholders. It combines technical data-analysis expertise with the communication and organizational abilities needed to coordinate across teams, produce clear test outbriefs, integrate datasets for program needs, and deliver relevant data and insights to modeling and simulation teams. The position is hybrid, with some on-site work required. Candidates will be located near Denver or Long Beach, with a strong preference for Denver. Travel to test sites is estimated at 10% of the time. The role requires U.S. citizenship and eligibility to obtain and hold a U.S. security clearance, and the additional requirements state the ability to maintain or obtain TS//SCI clearance. The position is open until filled.

Requirements

Bachelor’s degree in aerospace, mechanical, electrical, or computer engineering, applied mathematics, physics, data science, or a related technical field.
7+ years of relevant engineering industry experience.
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.
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, program management, and external stakeholder teams, including support for test planning, readiness reviews, post-test reviews, and anomaly investigations.
Ability to manage multiple analysis efforts, priorities, dependencies, and deliverables in a high-tempo, matrixed environment; influence teams without direct authority; and maintain commitment to data integrity, analytical rigor, and traceability.
Experience with Atlassian tools, including Jira and Confluence.
U.S. citizenship and eligibility to obtain and hold a U.S. security clearance.
Ability to maintain or obtain TS//SCI clearance.

Nice To Haves

Advanced degree in engineering, applied mathematics, physics, data science, or a related technical discipline.
Active U.S. security clearance (S, TS, TS/SCI).
Experience analyzing data from integrated spacecraft, missile systems, launch vehicles, high-performance flight systems, or other safety-critical platforms.
Experience supporting subsystem-level and integrated system-level testing, including flight test, ground test, hardware-in-the-loop, software-in-the-loop, or mission simulation.
Experience developing automated data-processing pipelines, reusable analysis tools, or standardized technical data products.
Experience with MATLAB toolboxes for signal processing, control systems, statistics, or data acquisition, and with Simulink model validation, model correlation, or test-to-model comparison.
Experience with Python, SQL, or other technical data-processing languages.
Experience with telemetry systems, instrumentation, sensors, timing systems, or flight-test data products.
Familiarity with requirements verification, acceptance criteria, test success criteria, anomaly resolution, root-cause analysis, or fault isolation.
Experience presenting technical results to customers, government stakeholders, executive leadership, or external partners.
Background in systems engineering, GNC, propulsion, avionics, communications, flight software, or integrated vehicle systems.
Experience with configuration management, controlled technical data environments, test ranges, mission operations, ground systems, or operational data flows.

Responsibilities

Support data analysis across subsystem-, system-, ground-, and flight-test programs from pre-test planning through post-test assessment; develop analysis plans aligned with 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.
Ingest, condition, synchronize, reduce, validate, and 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.
Identify and support characterization, triage, and resolution of anomalies, discrepancies, and unexpected system behavior.
Synthesize data across subsystems and test sources to develop system-level conclusions; provide relevant datasets, assumptions, lessons learned, and insights to modeling and simulation teams.
Create technically rigorous test reports and executive-ready outbriefs for engineering teams, leadership, customers, and external stakeholders, translating complex findings into conclusions, visuals, recommendations, and follow-up actions.
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, and improve repeatability through automation, standardized data products, and configuration management.

Benefits

100% company-paid medical, dental, and vision coverage for employees and dependents, with HSA/HRA options.
Flexible Time Off (FTO) for exempt employees.
Accrued PTO of up to 25 days for non-exempt employees.
12 paid holidays.
Parental Leave.
Sick Leave.
Daily catered lunch and unlimited snacks for in-office employees.
401(k) retirement plan.
Fitness reimbursement.
Dog Fridays.
Equity participation as part of total compensation.