GDIT is seeking a BOE Solution Architect SME to join our Strategic Estimation team, part of OCTO, Office of the Chief Technology Officer of GDIT. We link engineering decisions to mission outcomes and provide a range of core offerings, including BOE Leadership, Independent BOE’s, Technology / Estimation SME support, AI-Enabled Estimation, GDIT Metrics, Industry Benchmarks, Parametric Models, BOE/Rationale Reviews, and more. We support our highest priority and cutting-edge technical opportunities across all GDIT divisions with BOE / Estimation / Solutioning expertise. MEANINGFUL WORK AND PERSONAL IMPACT : Partner with programs, solution architects and other business stakeholders to understand BOE / Estimation / Solution needs and provide expertise, recommendations and artifacts that support high-priority efforts Provide BOE Leadership and support, which includes end-to-end BOE development throughout the lifecycle, including Staffing Rationale, Models and more Shape technology mission delivery by providing high-quality BOE and Solutioning artifacts Provide estimation and solutioning support on large and complex proposals, by providing metrics, recommending technical solutioning, estimating staffing, providing data models, parametric models and analogous metric program data using data analysis, automation and AI tools. Use internal metrics, and SEER-IT or similar industry benchmark models to provide metric data. Estimate staffing for large complex IT programs and modernization efforts using various estimation methodologies and backed with industry benchmark metric data Provide technology solutioning expertise to Solution Architects working on these efforts, to inform strong solutioning and estimation decisions, aligned to customer mission Responsible for working across all divisions, bringing expertise to inform solutions for Defense, Intel, Federal Civilian and Federal Health customers Models: Oversee, build and deploy predictive models using machine learning techniques (e.g. regression, classification, clustering), working with our technology experts/engineers. Evaluate model performance, iterate improvements, and ensure model reliability. Collaborate with engineers to integrate models into production systems and gather metric performance feedback. Provide data-backed recommendations to inform strategic decision-making and optimize business processes. Develop compelling data visualizations and PowerPoint slides to communicate findings to technical and non-technical audiences. Lead and support AI, data-driven and automation processes and improvements and support metrics gathering and analysis; help drive further adoption and use of AI tools across the business Use M365, Teams, Kanban, Scrums and other Agile methodology, along with AI tools, to drive progress and find efficiencies; Research industry trends in data metrics analysis and tools, AI and scripting tools and collaborate with others to implement approved recommendations.
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Job Type
Full-time
Career Level
Senior