Work with domain experts across CRA’s practice areas to identify, structure, and prioritize AI and digital product opportunities; Facilitate discovery sessions, user interviews, stakeholder workshops, and user story mapping sessions with consultants, corporate staff, data experts, and engineering teams; Translate complex consulting workflows into clear product requirements, user personas, user journeys, epics, user stories, acceptance criteria, and success metrics; Develop business cases for proposed AI and digital initiatives, including expected user value, business impact, required resources, adoption considerations, risks, dependencies, and sequencing; Help distinguish between ideas that should become enterprise products, practice-specific tools, reusable accelerators, vendor-enabled solutions, or one-off project assets. Serve as the connective tissue between senior stakeholders, practice experts, technical teams, and corporate functions; Facilitate structured decisions when stakeholders have competing priorities, unclear ownership, unresolved risks, or differing definitions of success; Help establish governance routines for intake, prioritization, delivery readiness, launch readiness, adoption, and continuous improvement of AI and digital products; Support responsible AI, confidentiality, model validation, data governance, regulatory sensitivity, and quality control requirements throughout the product lifecycle; Ensure that product documentation, meeting artifacts, action items, and delivery commitments are crisp, traceable, and easy for busy teams to act on.