Program Management
Standing up or assessing a PMO, aligning portfolios to strategy, and coordinating multi-workstream programs where governance and benefits tracking actually matter.
Since business school, I have wanted to be a consultant.
I didn't like being pigeon-holed into a single skillset. I enjoyed doing it all.
20+ years of client work, including substantial Fortune 500 delivery across Canada, the US, and Australia. Breadth matters. Depth matters. I have worked hard at both.
Whether I help you improve processes, execute strategy through projects, or stand up practical AI (agents, chatbots, MVPs, AI project management), I tailor frameworks and tools to what you need.
Foundation: PMP and Six Sigma Black Belt. AI delivery: CPMAI (Cognitive Project Management for AI), generative AI and prompt engineering foundations through PMI, plus hands-on AI coding, agentic workflows, and process-led AI for small business and larger programs.
These are the disciplines I have practiced for years on client work. AI sits on top of them. It does not replace them.
Standing up or assessing a PMO, aligning portfolios to strategy, and coordinating multi-workstream programs where governance and benefits tracking actually matter.
Hands-on delivery from charter through close: scope, schedule, risk, stakeholders, vendors, and the unglamorous work of getting decisions made so work can ship.
Mapping how work really runs, finding waste with Lean and Six Sigma habits, and helping teams redesign operating processes that people can follow.
Requirements, use cases, traceability, and the bridge between business intent and what gets built or changed. Clear requirements still prevent a lot of expensive rework.
Beyond traditional program and process work, I apply AI Coding (Vibe) and AI project practices to help organizations move faster, without losing delivery discipline.
Quick MVPs and UI wireframes that are functional. Useful for stakeholder demos, early validation, and iterative product shaping.
From data cleansing and chunking strategies to automation, stack decisions that match the business, and complete end-to-end creation and deployment of agentic workflows.
Train teams to use local or frontier LLMs (and practical consulting tools) so people enhance real work efforts: research, writing, analysis, process design, and delivery support.