Translate GDIT’s enterprise AI strategy and roadmap into AI product strategies and a portfolio of enterprise AI agents for internal adoption.
Establish product problem statements, user needs, requirements, and measurable success criteria aligned to enterprise AI governance standards.
Develop product epics and high-level features that organize approved AI use cases into value-driven increments aligned to user outcomes and success criteria.
Partner with functional stakeholders (e.g., Growth, HR, Finance, Legal) to understand workflows, identify high-value use cases, and align on expected outcomes.
Collaborate with AI Engineering teams on feasibility, scope, pilot planning, evaluation design, and release readiness—without leading engineering execution.
Work with organizational change management (OCM) to support adoption and readiness for enterprise AI agents.
Lead product-level prioritization discussions and align stakeholders on scope, tradeoffs, and delivery expectations.
Communicate product progress, key decisions, risks, and outcomes to stakeholders and leadership with clarity and consistency.

Education: Bachelor's degree in a technical field (e.g., computer science, data science, engineering)
Experience: 5+ years of product management experience in technical or enterprise software environments, including demonstrated prior experience managing AI-enabled products.
Skills: Practical AI literacy, including familiarity with LLMs, retrieval‑augmented workflows, agentic patterns, evaluation fundamentals sufficient to scope use cases and assess feasibility.
US Persons required

AI Product Manager

Key skills