Technical Program Manager, System Data Analysis

Posted 3 Hours Ago
Be an Early Applicant
2 Locations
In-Office
155K-220K Annually
Senior level
Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Defense • Manufacturing
Delivering decisive capabilities for space superiority.
The Role
Leads technical data integration and analysis across subsystem, ground, and flight-test programs. Develops analysis plans, data products, processing workflows, and visualizations; validates telemetry and instrumentation data; compares measured performance with requirements and simulations; supports anomaly investigation; and synthesizes system-level conclusions. Coordinates engineering, test, modeling, simulation, and external stakeholders while producing technical reports, executive briefings, and traceable analysis documentation.
Summary Generated by Built In

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.

OUR MISSION

True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.

OUR VALUES

  • Be the offset. We create asymmetric advantages with creativity and ingenuity.
  • What would it take? We challenge assumptions to deliver ambitious results.
  • It’s the people. Our team is our competitive advantage and we are better together.

BENEFITS & PERKS*

  • Best-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options
  • Generous time off: Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays; Parental Leave; Sick Leave
  • Fuel for your day: Daily catered lunch and unlimited snacks for in-office employees
  • And more: 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

YOUR MISSION

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 clear 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.

What You’ll Own

  • 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.
  • Identify and support the characterization, triage, and resolution of anomalies, discrepancies, and unexpected system behavior.
  • Synthesize data across multiple subsystems and test sources to develop system-level conclusions; flow 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; translate complex findings into clear 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 while improving repeatability through automation, standardized data products, and configuration management.

Required Qualifications

  • 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.
  • 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, 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 a strong 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.

Preferred Qualifications

  • 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.

COMPENSATION

  • Base Salary: $155,000- $220,000
  • Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.

ADDITIONAL REQUIREMENTS

  • Ability to maintain or obtain TS//SCI clearance
  • Work Location—Successful candidates will be located near Denver or Long Beach. Strong preference in Denver, but open to Long Beach as well. While we observe a hybrid work environment, some work must be done on site
  • Work Travel — This role will require travel to test sites, estimated at 10% of the time.
  • Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

To protect candidates and our company from application fraud and impersonation, we use third-party tools to verify applicant identity and detect fraudulent applications. Learn more in our Privacy Notice.

Skills Required

  • 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
  • Experience processing and analyzing engineering, ground, flight, or integrated-system data, including time-series, telemetry, instrumentation, or data-acquisition datasets
  • MATLAB and Simulink experience for data processing, analysis, visualization, modeling, and simulation
  • Experience integrating with or analyzing C/C++-based system models
  • Understanding of data-processing workflows including filtering, conditioning, synchronization, calibration, reduction, validation, visualization, and data-quality assessment
  • Ability to synthesize subsystem data and compare measured results with requirements, models, simulations, predictions, or expected performance
  • Strong technical writing, presentation, and communication skills, including test reports and technical briefings
  • Experience coordinating across engineering, test, operations, modeling and simulation, program management, and external stakeholder teams
  • Ability to manage multiple analysis efforts, priorities, dependencies, and deliverables in a high-tempo, matrixed environment
  • Experience with Atlassian tools, including Jira and Confluence
  • U.S. citizenship and eligibility to obtain and hold a U.S. security clearance
  • Advanced degree in engineering, applied mathematics, physics, data science, or a related technical discipline
  • Active U.S. security clearance, such as Secret, Top Secret, or TS/SCI
  • Experience analyzing data from spacecraft, missile systems, launch vehicles, high-performance flight systems, or other safety-critical platforms
  • Experience supporting subsystem and integrated system 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
  • 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

True Anomaly Compensation & Benefits Highlights

  • Healthcare Strength — Healthcare is presented as 100% employer-paid for employees and dependents, with HSA/HRA options noted in current job materials. This combination indicates strong, cost-shielding medical coverage.
  • Leave & Time Off Breadth — Exempt roles cite flexible time off, while non-exempt roles can accrue up to 25 PTO days plus 12 paid holidays. This structure points to generous time-away provisions across classifications.
  • Parental & Family Support — Parental leave is described as roughly three months of paid time, and parental leave is listed among core benefits. These signals suggest meaningful family support, pending policy confirmation.

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The Company
HQ: Centennial, CO
300 Employees
Year Founded: 2022

What We Do

Space was once the quietest place in the universe. Now, it's crowded, contested, and confrontational.  We are True Anomaly: the only defense company focused exclusively on space defense. Founded in 2022 by ex-U.S. Space Force members, True Anomaly designs and builds advanced systems for space superiority: agile and powerful spacecraft platforms, mission software engineered for unmatched command and control, and payloads tailored for precision sensing and effects.    True Anomaly is headquartered in Centennial, CO, with regional offices in Colorado Springs, CO, Long Beach, CA, and Washington, D.C.  We are hiring and seeking exceptional talent to join True Anomaly, from any technical industry or background, to bring unique talents, perspective, and solutions. If you embrace complexity, lead instead of follow, showcase integrity over ego, take ownership for outcomes, and measure success by impact, we want to hear from you.

Why Work With Us

True Anomaly exists to enable a secure, stable, and sustainable space environment for the US, its allies, and partners. We design and build spacecraft and software solutions for space superiority. If you are ready to contribute to the future of space defense, we’d love to hear from you.

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True Anomaly Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We are a hybrid office culture. Our employees work from offices in Denver, Colorado Springs, Los Angeles, and Washington D.C. We recognize the importance of in-office collaboration, but also the value of a flexible work and location requirements

Typical time on-site: Not Specified
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Government Affairs and Sales
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