• Identifying AI and automation opportunities across enterprise workflows and translating them into clear product strategies, roadmaps, and system requirements • Owning the end-to-end product lifecycle for enterprise AI platforms, from evaluation and intake through delivery, adoption, and continuous improvement • Defining and maintaining product roadmaps, success metrics, and prioritization frameworks aligned to business outcomes • Translating complex business needs into structured requirements, epics, user stories, and technical specifications for delivery teams • Leading cross-functional teams spanning engineering, IT, QA, UX, compliance, and business stakeholders to deliver scalable AI-enabled solutions • Driving delivery of automation workflows, intelligent search capabilities, and agent-based systems in real-world business environments • Evaluating emerging AI capabilities and enterprise platforms (e.g., Copilot, OpenAI Enterprise, Glean) to assess fit, risk, and value • Partnering with BI, analytics, and data teams to ensure AI solutions are grounded in trustworthy data, governance, and measurable insights • Facilitating Agile ceremonies and execution using Scrum or Kanban, ensuring consistent backlog hygiene and iterative delivery