• 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.