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General Dynamics Mission Systems

Builds secure electronics for defense missions

Value Stream and AI Transformation Lead Specialist

Business OperationsConfirmed live in the last 24 hours
Full-timeUnited States$139.7k - $151.1k /yrIn-person

About the Job

Requirements

  • A bachelor's degree in business, engineering, information systems, data science, program management, or a related field, or equivalent relevant experience.
  • Significant experience improving complex, cross-functional business processes.
  • Demonstrated experience with value-stream mapping, Lean, systems thinking, business process architecture, or comparable process-improvement methods.
  • Working knowledge of program controls, including planning, scheduling, cost management, forecasting, performance measurement, or integrated program management.
  • Experience translating business processes into functional, data, automation, or system requirements.
  • Practical understanding of generative artificial intelligence, AI assistants, workflow automation, or agent-based solutions.
  • Ability to assess AI opportunities, limitations, risks, and required human controls.
  • Demonstrated ability to influence across organizational boundaries and communicate with technical specialists, functional subject-matter experts, program teams, and senior leaders.
  • Experience leading workshops and producing clear current-state assessments, future-state designs, roadmaps, and business cases.
  • U.S. citizenship is required.
  • A bachelor's degree or equivalent combination of relevant work experience, plus a minimum of 8 years of relevant experience; or a master's degree plus a minimum of 6 years of relevant experience.

Responsibilities

  • Guide the modernization of program execution processes while preserving compliance with Earned Value Management System requirements and applicable customer and regulatory expectations.
  • Map end-to-end value streams across program planning, scheduling, cost management, forecasting, risk management, change control, and performance reporting.
  • Identify process delays, duplicate effort, manual handoffs, control weaknesses, and opportunities for simplification or automation.
  • Distinguish regulatory and contractual requirements from legacy implementation practices that may be redesigned.
  • Develop a prioritized transformation roadmap based on business value, compliance risk, technical feasibility, and workforce readiness.
  • Design use cases for AI assistants and agents that improve program execution, decision support, data quality, and administrative efficiency.
  • Define human oversight, decision rights, approval gates, audit evidence, data lineage, access controls, and exception handling for AI-enabled workflows.
  • Partner with the Compliance/EVM Officer to ensure proposed changes remain consistent with the approved EVMS description, ANSI/EIA-748 guidelines, and applicable customer expectations.
  • Partner with the Program Execution subject-matter expert to ensure solutions address practical program needs and improve user workflows.
  • Collaborate with IT, cybersecurity, data owners, and system administrators to define solution requirements and implementation approaches.
  • Facilitate cross-functional workshops and convert findings into future-state processes, requirements, business cases, and implementation plans.
  • Establish measures for adoption, cycle-time reduction, quality, compliance, productivity, and realized value.
  • Support pilots, validation, change management, training, and scaled deployment.
  • Monitor emerging AI capabilities and recommend responsible applications within the program execution environment.
  • Establish working partnerships with the CoE, Compliance/EVM, Program Execution, IT, cybersecurity, and key program stakeholders.
  • Document priority value streams and identify critical operational, compliance, and capability gaps.
  • Develop evaluation criteria for AI and automation opportunities.
  • Recommend a prioritized set of pilot opportunities and near-term improvements.
  • Deliver an approved transformation roadmap with defined owners, dependencies, controls, investments, and measurable outcomes.
  • Launch and evaluate priority pilots using documented compliance and human-oversight controls.
  • Demonstrate measurable improvement in selected areas such as cycle time, data quality, forecast insight, reporting effort, or user productivity.
  • Establish a repeatable governance and value-realization framework for scaling successful capabilities.

Desired Qualifications

  • Experience supporting an ANSI/EIA-748-compliant EVMS or working in a DCMA-regulated environment.
  • Experience in aerospace, defense, government contracting, or another highly regulated industry.
  • Familiarity with integrated master scheduling, earned value analysis, estimate-at-completion processes, change control, and program performance reporting.
  • Experience implementing AI or automation in controlled environments requiring traceability, cybersecurity, records retention, or auditability.
  • Familiarity with responsible AI, model risk, data governance, prompt and agent evaluation, and human-in-the-loop controls.
  • Lean Six Sigma, PMP, Agile, systems engineering, EVMS, or relevant AI/data certification.
  • Experience developing adoption plans and leading organizational change.

About the Company

General Dynamics Mission Systems

Builds secure electronics for defense missions

General Dynamics Mission Systems builds defense electronics and integrated systems for military, intelligence and civil government customers. Its equipment connects people and platforms across land, sea, air, space and cyber missions, from tactical radios to satellite ground infrastructure. The business designs submarine weapon controls, aircraft processing equipment and encryption products that protect classified voice, video and data. Government contracts fund development and production, and its products become components of larger military platforms and integrated national security systems. A business unit of General Dynamics, it is headquartered in Chantilly, Virginia.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Chantilly, VA
Founded
1952

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