IBM Client Engineering is where Fortune 500 executives bring their hardest problems: an AI transformation with no starting point, a healthcare system that can't see its own bottlenecks, a government agency mandated to electrify with no roadmap. I ran the discovery that surfaced the real problem, facilitated the sessions that aligned stakeholders, and delivered the scoped solution and roadmap that got funded. Promoted within 6 months. Received IBM's Rising Star Award.
Developed and scaled a repeatable AI strategy engagement methodology across 100+ engagements, moving organizations from problem definition through use case prioritization, solution scoping, and executive commitment to fund and build. Adopted across IBM Client Engineering teams.
Led AI strategy on a $10M State of California EV charging initiative. Ran discovery workshops with engineers, data scientists, and government stakeholders, scoped the MVP, and delivered a phased roadmap projecting 15% reduction in energy use and 40% reduction in emissions.
Led discovery and stakeholder research for an AI scheduling tool at CVS, translating executive and frontline insights into a validated MVP that improved vaccine appointment efficiency by 80%.
Drove a $1.3M Providence Health engagement by pushing for on-site ethnographic research when the team was ready to design from assumptions. Research reframed the brief around a machine vision solution, turning a stalled engagement into a funded project.
Facilitated 100+ executive transformation engagements across Data and AI, Sustainability, and Modernization, moving C-suite teams from problem framing through roadmap alignment and commitment to execution.
Mentored 30 early-career consultants through weekly coaching sessions.