AI Data Analysis and Metrics Lead

General Dynamics Information Technology•Fairview Park, OH
•Hybrid

About The Position

GDIT is seeking an AI Data Analysis and Metrics Lead, also described as a Solutions Architect Sr Principal, to join its Strategic Estimation team within the Office of the Chief Technology Officer. The team supports solution architects by using AI tools, data from analogous programs, and industry benchmark tools such as SEER to develop estimates and Bases of Estimate (BOEs) for priority technical opportunities. The role leads GDIT metrics gathering, analysis, visualization, and technology estimation, with a focus on AI and automation. It partners with the AI Center of Excellence, Luna AI team, technology subject-matter experts, estimators, solution architects, growth teams, and business stakeholders. The position provides data-backed recommendations for strategic decisions and process improvement, tracks initiative outcomes through key performance indicators, and develops visualizations and dashboards. It supports proposal teams with technology estimates, BOEs, metrics, and AI models; helps build and deploy predictive models; and provides data models, parametric models, and analogous program data to the estimating practice. The role also advances automated data collection and agentic AI workflows, maintains the Metrics Repository and related schedules and artifacts, and coordinates stakeholder communications, meetings, demonstrations, and training. The position is hybrid in Falls Church, Virginia, with 40 scheduled weekly hours and 10–25% travel required.

Requirements

  • Bachelor’s degree in a STEM-related field, such as IT, data analytics, computer science, or engineering.
  • 10 or more years of related experience in IT technology, solutioning, and delivery of large, complex enterprise IT solutions to federal customers, across multiple customers and federal agencies.
  • 5 or more years of experience solutioning large enterprise IT technology opportunities for federal customers on deals valued at $100 million or more.
  • 3 or more years of experience in technology estimation and creating BOEs and related staffing rationale for large enterprise opportunities and recompete programs.
  • Experience with data gathering, data analysis, data visualization, AI and data tools, and agentic AI workflows.
  • Experience with Microsoft Excel and Microsoft 365, including migrating or translating data into useful formats for analysis, use, and reporting.
  • Experience with SharePoint, visualization tools such as Tableau or Minerva, and AI or scripting tools such as Python, R, PowerShell, or ChatGPT.
  • Technical certifications related to IT technologies are required.
  • U.S. citizenship is required.
  • Must be able to obtain and maintain a Secret clearance.
  • Strong leadership, mentorship, collaboration, communication, critical-thinking, and creative problem-solving skills, including the ability to work with people at all organizational levels.
  • Ability to write clearly and precisely, with meticulous attention to detail.

Nice To Haves

  • ITIL or PMP certification.

Responsibilities

  • Lead GDIT metrics requirements, data gathering, data analysis, and data visualization, including daily use of AI and automation.
  • Provide Basis of Estimate (BOE) and technology estimation expertise, including support for proposal teams, estimates, metrics, and AI models.
  • Analyze data and provide evidence-based recommendations to support strategic decisions and business-process optimization.
  • Measure data-driven initiatives using key performance indicators and develop visualizations and dashboards.
  • Develop automated scripting tools and workflows, independently and with technology subject-matter experts, to speed up metrics collection and refine agentic AI tool use.
  • Partner with estimators, solution architects, growth teams, and other stakeholders to understand data needs and develop AI- and machine-learning-centered solutions.
  • Collaborate with Program, Capture, and Solution teams to identify, benchmark, and collect relevant estimating metrics in standardized, automated formats.
  • Review and analyze collected metrics and prepare recommendations, reports, and visualizations.
  • Work with estimators and data-analysis experts to cleanse, prepare, and analyze large datasets; identify patterns, trends, and anomalies; and use statistical techniques and data-mining algorithms to extract insights.
  • Develop visualizations that communicate findings to technical and non-technical audiences.
  • Oversee the development and deployment of predictive models using machine-learning methods such as regression, classification, and clustering, as well as AI modeling; evaluate and improve model performance and reliability.
  • Collaborate with engineers and experts to integrate models into production systems.
  • Support GDIT’s estimating team and practice with data models, parametric models, and analogous program metrics, using technology estimation expertise, data analysis, automation, and AI tools.
  • Train and use SEER-IT or similar industry benchmark models to provide metric data.
  • Create and execute a communications plan and schedule for stakeholder involvement in pilots, training, demonstrations, and related activities.
  • Partner with the Learning and Development team to develop and deliver training on data metrics and automated estimation tools, including live and prerecorded sessions.
  • Research industry trends in data metrics analysis and tools, and collaborate with others on approved recommendations.
  • Schedule, facilitate, and lead meetings to advance data metrics collection and AI estimation tools.
  • Maintain and upgrade the Metrics Repository, including its collection and AI-tool schedules, artifacts, and SharePoint pages.
  • Complete special projects as assigned.

Benefits

  • Medical plan options, including some with Health Savings Accounts.
  • Dental and vision plans.
  • 401(k) plan with company match.
  • Paid time off, including vacation, sick and personal time, holidays, and paid parental, military, bereavement, and jury duty leave.
  • Short- and long-term disability benefits.
  • Life, accidental death and dismemberment, personal accident, critical illness, and business travel and accident insurance.
  • Wellness packages.
  • AI-powered career tool identifying career steps and learning opportunities.
  • Internal mobility team focused on helping employees achieve career goals.
  • Full flexible work weeks where possible.
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