Key responsibilities include:
· Identify, assess, and prioritize AI and automation opportunities across customer engagement, operational enablement, vendor management, procurement workflows, and enterprise technology processes.
· Define product vision, scope, user needs, success metrics, adoption objectives, and measurable business outcomes for prioritized AI initiatives.
· Develop business cases, value hypotheses, and prioritization criteria using customer impact, business value, feasibility, risk, effort, data readiness, adoption readiness, and strategic alignment.
· Own prioritized product backlogs, including epics, user stories, acceptance criteria, dependencies, release priorities, and success measures.
· Partner with AI Automation Engineers, AI/ML Engineers, platform teams, and delivery partners through discovery, prototyping, build, testing, launch, adoption, and continuous improvement.
· Facilitate stakeholder workshops, workflow assessments, interviews, user research, and independent research to validate use cases, resolve tradeoffs, and translate insights into clear product requirements.
· Drive responsible adoption and performance measurement through governance alignment, launch planning, training, documentation, communications, change management, and reporting on adoption, productivity, customer satisfaction, operational savings, cycle time, and ROI.