Azam Khan

Business Analyst Ai Strategy and Partnerships @Thomson Reuters

London, GB

Architected innovative AI evaluation framework measuring multidimensional business value across time efficiency, capacity multiplication, and skills leverage introducing novel Traditional Role Equivalent methodology to quantify specialized work performed without specialist hiring. Led analysis of 85+ use cases across 7 business units, presented comprehensive ROI findings to senior leadership, and directly influenced Thomson Reuters’ enterprise AI investment strategy and tool selection framework.• Led enterprise AI transformation initiatives across 4 global locations (Toronto, Minneapolis, Hyderabad, Bangalore), orchestrating Claude Code workshops for 400+ engineers to accelerate development workflows and engineering productivity.• Drove strategic partnerships with OpenAI, Anthropic, and Google through weekly AI Discovery sessions, evaluating new model releases, negotiating early access programs, and delivering competitive intelligence that directly shaped TR’s multi-model AI investment strategy and positioned TR as preferred enterprise partner.• Executed enterprise-wide Claude.ai deployment across Finance, Legal, Product, Editorial, and Content Operations, designing evaluation framework and managing adoption strategy that achieved 85%+ active usage within 90 days• Designed and delivered enterprise-wide Prompt Engineering Academy to global teams across US and India cohorts, achieving 60% completion rate with comprehensive curriculum and evaluation methodology.• Analyze performance and ROI of LLM implementations across news, legal, tax, and accounting products, providing data-driven investment recommendations and coordinating technical evaluations across the AI partnership portfolio.

University of Essex

Master's degree, Data Science

University of Engineering & Technology Peshawar

Bachelor of Science - BS, Mechanical Engineering