Barry French
Azure Cloud & AI Business Strategy | GTM & Enterprise Transformation | Platform Economics & AI Governance | Microsoft
- Role
- Principal, Cloud and Ai Strategy - Azure Networking at Microsoft
- Location
- Dallas, TX, US
- LinkedIn followers
- 500 followers
About Barry French
I solve problems companies haven’t solved before where AI infrastructure limits, commercial economics, and regulatory constraints intersect.Three forces shape how organizations deploy AI at scale:Physics. Economics. Regulation.I’ve worked across all three in hyperscale cloud and global financial services over 15+ years—PhysicsLead competitive and portfolio strategy for Azure Networking, a $5B+ business supporting AI infrastructure at scale. Translate latency, topology, and capacity constraints into roadmap and pricing decisions that hold under real-world conditions—EconomicsDesign monetization and pricing systems across a $5B portfolio growing 20%+ annually. Enabled $1B+ demand-shaping strategy, prevented $60M+ annual over-discounting, launched 20+ business models generating $700M+ and accelerating enterprise deals with customers like OpenAI, BlackRock and ByteDance.Previously led a 100-person organization with $50M budget accountability and built a consulting practice driving 50% revenue growth—RegulationDirected EU Data Act strategy protecting $400M+ of annual Azure revenue. Led $66B banking merger execution under DOJ oversight, building real-time remediation infrastructure achieving zero customer-impacting incidents across 10M+ accounts. Stabilized capital workflows within Florida Power & Light’s Storm Secure Underground Program under Florida Public Service Commission scrutiny when cost recovery and program continuation were at risk.I design systems that hold when failure destroys value and lead cross-functional teams that turn strategy into execution.
Experience
Principal, Cloud and Ai Strategy - Azure Networking
Jun 2022 — Present
Design the operating and decision frameworks Azure Networking leadership uses to scale cloud and AI workloads under engineering, economic, and regulatory constraints. Provide clear, defensible tradeoffs across product, finance, legal, and field execution so leaders can move with speed and confidence in high stakes environments.Highlights-Define and own portfolio-level business planning and commercial frameworks for Azure Networking, shaping pricing logic, investment governance, and GTM alignment across core connectivity and virtual networking services. Act as connective tissue between engineering and finance, translating technical roadmaps into planning artifacts and economic models that support sustained 30%+ growth-Led pricing and SKU launches for 20+ features generating $700M+ over four years, accelerating large enterprise deals ($100M+ annual contracts with OpenAI, ByteDance, Temu) by reducing pricing friction through targeted business model updates and discount empowerment frameworks-Design monetization and pricing systems across $5B portfolio growing double digits annually. Prevented $60M+ in annual over-discounting and enabled $1.5B+ demand-shaping strategies through competitive intelligence and yield management frameworks-Drive organizational change through applied AI by building and deploying a Copilot-based agent across a 500+ person organization, centralizing career guidance, development pathways, and manager resources. Achieved 70% adoption with sustained 65% monthly active usage 6 months post-launch-Architecting commercial framework for joint offerings with AWS and Google Cloud enabling multi-cloud private connectivity where competitive dynamics required collaborative business model design-Led cross-functional execution of Microsoft\'s EU Data Act response, coordinating 50+ stakeholders across legal, engineering, finance and product to deliver compliant designs within a 90-day window.
Education
Virginia Tech
B.S, Electrical Engineering
2006 — 2011
University of Maryland Global Campus
Master of Business Administration (M.B.A.)
2013 — 2015
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