Mixed business and technical background. 5+ years of product / program management experience, including at least 2 years of experience working directly with engineering resources. Hands-on proficiency with GenAI fundamentals — prompt engineering (zero-/few-shot, chain-of-thought), RAG pipelines, and multi-agent orchestration. Ability to model LLM operating costs (token burn, model choice, usage forecasts) and keep spend within ROI targets. Experience creating business cases to justify internal tool investments. Fluency in Agile for AI: backlog triage, sprints, rapid A/B experiments, and post-release monitoring. Track record steering cross-functional delivery. Prior experience at a top-tier management consulting firm or Technology Consultants from Deloitte, PWC, Accenture etc. a plus.