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Technical Program Manager, Digital Test $ Evaluation

Job in Mountain View, Santa Clara County, California, 94039, USA
Listing for: Advanced Automation Corporation
Full Time position
Listed on 2026-10-05
Job specializations:
  • IT/Tech
    Cybersecurity, Systems Engineer, Systems Analyst, Data Analyst
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below

The incumbent will serve as a Technical Program Manager and Subject Matter Expert (SME) in Digital Test & Evaluation (T&E), with responsibility for helping translate traditional defense T&E requirements and workflows into modern, software-enabled test environments. The position requires a working understanding of how defense T&E is planned, executed, analyzed, and documented, combined with technical fluency in digital engineering, modeling and simulation, test-management software, data orchestration, Dev Sec Ops , cloud and edge computing, and the integration of commercial software within government networks and security boundaries.

The incumbent will support efforts to prototype and operationalize an enterprise Digital T&E ecosystem that connects users, tools, data, models, simulations, test resources, and decision-makers across the T&E lifecycle. The objective is not to replace sound test discipline, but to make T&E faster, more continuous, data-driven, interoperable, and accessible to government and commercial users. The role will help identify where commercial software can reduce manual work, connect previously disconnected workflows, enable a persistent digital thread from mission need through test evidence, and accelerate the delivery of decision-ready information.

This Technical Program Manager will operate at the intersection of traditional T&E, digital engineering, software integration, and commercial technology adoption. The incumbent will be expected to understand the operational and acquisition context of military testing, work closely with test organizations, program offices, range and laboratory stakeholders, infrastructure and cybersecurity teams, operational users, and commercial vendors, and translate those needs into executable pilots, software requirements, integration plans, and transition strategies.

DELIVERABLES/SERVICES

REQUIRED
  • Lead and manage Digital T&E prototype efforts from problem definition and market research through technical diligence, pilot execution, user evaluation, and transition.
  • Translate military T&E workflows, capability claims, operational needs, and program decisions into software requirements, user stories, integration requirements, acceptance criteria, and measurable pilot outcomes.
  • Design and evaluate end-to-end T&E workflows that connect requirements, mission and systems engineering, modeling and simulation, test planning, test execution, test data collection, analysis, reporting, and decision support.
  • Apply working knowledge of test strategy and design to help teams define Measures of Performance (MoPs), Measures of Effectiveness (MoEs), test objectives, data requirements, evidence thresholds, and the appropriate mix of modeling and simulation, laboratory, cyber, and physical-range testing.
  • Serve as a technical integrator across Digital T&E tool categories including mission engineering, systems engineering / MBSE, Dev Sec Ops  and CI/CD, modeling and simulation, detailed test planning, risk management, test execution, test-data monitoring, test management, analysis, visualization, reporting, and data governance.
  • Develop and validate digital-thread concepts that allow authoritative data and artifacts to flow between engineering, test, and assessment tools without unnecessary manual re-entry or duplication.
  • Coordinate integration of commercial software into defense RDT&E infrastructure, including government and commercial cloud, edge environments, RDT&E networks, and classified/unclassified enclaves, while accounting for cybersecurity, identity and access management, data protection, interoperability, and accreditation requirements.
  • Identify and resolve technical barriers associated with APIs, data schemas, metadata, containerization, software…
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