Advancing technical AI capability
Helping AI engineers, ML engineers, data scientists, and specialist roles progress through hands-on learning tied to real tools and production workflows.
Roy Meshulam
AI & Advanced Data Learning at Mastercard
I build advanced, practitioner-level learning that helps AI engineers, machine learning engineers, data scientists, and technical specialists apply AI tools and practices more productively in real production environments.
Advanced AI
Technical learning
Production practice
15+
Years of Experience
AI & Data
Advanced Learning
Fintech
Delivery Depth
Who Is Roy Meshulam?
Developing technical AI expertise through real systems, workflows, and production practice.
I'm Roy Meshulam, leading AI & Advanced Data Learning at Mastercard. I am an AI expert and technical learning leader focused on developing deep practitioner capability for AI engineers, machine learning engineers, data scientists, and emerging specialist roles.
I translate AI strategy and platform roadmaps into practical skill priorities, hands-on learning, and role-based progression. My work helps technical employees use AI tools more productively while learning how to build, deploy, monitor, debug, and govern AI and data systems at scale.
My background spans more than 15 years in software engineering, artificial intelligence, product delivery, payments, and regulated financial services. It includes Mastercard Agent Pay, digital wallets, and FX derivatives programs at UBS Investment Bank.
What I'm Known For
Advanced AI expertise combined with technical learning leadership, financial technology experience, engineering depth, and delivery discipline.
Turning AI strategy into practitioner skills
Translating AI and data platform direction into learning priorities that help technical employees use advanced tools more productively.
Scaling agentic commerce payments
Bringing Agent Pay, tokenization, authentication, and controlled autonomous transaction flows into European markets.
Leading fintech delivery in regulated markets
Bringing payment products, agentic commerce, wallets, and trading systems from strategy into market execution.
Connecting engineering, product, and governance
Working across technical, commercial, and control functions so complex systems can ship responsibly.
Experience
Mastercard · Zurich, Switzerland
AI & Advanced Data Learning
Sep 2026 - Present
Building deep, practitioner-level learning for AI engineers, machine learning engineers, data scientists, and emerging technical specialists.
- Own the advanced AI and data learning strategy, aligned with Mastercard’s AI and data platform direction.
- Translate enterprise AI strategy and platform roadmaps into role-based skill priorities, learning investments, and progression paths.
- Design hands-on learning grounded in model development, data pipelines, deployment, monitoring, MLOps, LLMOps, reliability, cost, and responsible AI.
- Partner with senior AI, data, engineering, and HR leaders to help technical employees apply AI tools and practices more productively in real work.
Mastercard · Zurich, Switzerland
Product Delivery / Agentic Commerce Payments
Jan 2025 - Aug 2026
Led the European rollout of Agent Pay, connecting AI agents with secure tokenized payments for consumer and B2B commerce.
- Expanded Mastercard Agent Pay across Europe with issuers, acquirers, PSPs, and merchants.
- Embedded authentication, tokenization, and dispute resolution into agentic payment flows.
- Scaled transparent, controlled, and fraud-protected payment experiences for autonomous transactions.
Mastercard · Zurich, Switzerland
Product Delivery / E-Commerce Payments
Jan 2023 - Dec 2024
Drove go-to-market readiness and delivery execution for European e-commerce payment products using AI-driven analytics.
- Reduced launch delays by 20% by identifying readiness gaps through predictive insights.
- Improved customer retention by 15% through data-driven prioritization and customer scoping.
- Lifted launch efficiency by 25% with agile planning, automation, and predictive delivery practices.
Mastercard · Zurich, Switzerland
Product Delivery / Contactless Payments
Jan 2018 - Dec 2022
Led expansion of digital payments products including Apple Pay, Google Pay, and MDES for Device Wallets.
- Increased transaction volume and market penetration by 30% through data-informed rollout strategies.
- Raised product adoption and engagement by 20% through stronger positioning and messaging.
- Improved customer satisfaction by 25% while commercializing MDES for Device Wallets.
Mastercard · Zurich, Switzerland
Product Delivery / Masterpass
Jan 2015 - Dec 2017
Built stronger onboarding and implementation delivery for Masterpass through cross-functional execution and standardized delivery practices.
- Improved onboarding efficiency by 30% with a streamlined customer implementation process.
- Reduced project timelines by acting as the implementation subject matter expert.
- Increased customer satisfaction by 20% through better documentation, lessons learned, and process improvement.
UBS Investment Bank · Zurich, Switzerland
Software Engineer to Project Manager / FX Derivatives
Jul 2007 - Dec 2014
Progressed from software engineering into project management while delivering regulated trading systems and business-critical change.
- Delivered FX derivatives systems in C++, Java, JavaScript, and ActionScript with measurable gains in trading efficiency and accuracy.
- Achieved 100% on-time regulatory go-lives with zero customer disruptions across CFTC, MiFID, and ESMA-driven programs.
- Improved system performance, trading volume, and stakeholder satisfaction through structured execution and risk management.
Proof of Impact
Previous outcomes across agentic commerce, digital payments, AI-enabled analytics, and regulated financial technology delivery.
01
Mastercard | 2025 - 2026
Scaled agentic commerce payments across Europe
Led the expansion of Mastercard Agent Pay and brought secure tokenized payments into live agentic commerce journeys.
Impact: Unified authentication, tokenization, and dispute resolution in support of transparent, controlled autonomous transactions.
02
Mastercard | 2023 - 2024
Reduced launch risk across European e-commerce payments
Used AI-driven analytics to surface launch risk, sharpen prioritization, and improve market delivery across Europe.
Impact: Delivered 20% fewer launch delays, 15% stronger retention, and 25% better launch efficiency.
03
Mastercard | 2018 - 2022
Commercialized digital wallets and MDES products
Scaled digital wallet and contactless payment offerings through stronger positioning, execution, and product optimization.
Impact: Drove 30% transaction growth, 20% higher adoption, and 25% improvement in customer satisfaction.
04
Mastercard | 2015 - 2017
Simplified Masterpass onboarding and implementation
Standardized onboarding and delivery documentation to make implementations faster, cleaner, and more repeatable.
Impact: Raised onboarding efficiency by 30% and customer satisfaction by 20%.
05
UBS Investment Bank | 2007 - 2014
Delivered regulated FX technology under deadline pressure
Delivered business-critical trading and regulatory change programs under tight deadlines and strict compliance constraints.
Impact: Reached 100% on-time go-live dates with zero customer disruption while reducing project risk exposure.
Education
St. Louis, Missouri, USA
M.Sc. in Artificial Intelligence
Maryville University
Washington, DC, USA
Executive MBA
Quantic School of Business and Technology
Ramat Gan, Israel
M.Sc. in Computer Science
Bar-Ilan University
Ramat Gan, Israel
B.Sc. in Computer Science
Bar-Ilan University
Expertise
Advanced AI & Data Learning
Technical learning strategyRole-based proficiencyHands-on labsPlatform scenariosPractitioner progressionAI workforce upskillingLearning portfolio managementCross-functional influence
AI and Data Systems
Artificial intelligenceGenerative AIMachine learningDeep learningModel evaluationData pipelinesMLOpsLLMOpsResponsible AIAI governanceReliability and performanceAI cost considerations
Financial Technology
Agentic commerceDigital paymentsTokenizationE-commerce paymentsAPI integrationRisk controlsPredictive analyticsData analysis
Fintech, Product & Engineering
Product managementProduct strategyRoadmappingProduct launchAgile deliveryFeature prioritizationPythonJavaJavaScriptC++Agentic commerceTokenized payments
Connect
Speaking & Advisory Topics
Conversations for leaders developing advanced AI practitioners, production-ready technical capability, responsible AI systems, and fintech delivery.
Advanced AI and data practitioner development
Production-relevant learning for technical teams
AI engineering proficiency and career progression
Production-ready AI in regulated environments
Agentic commerce and digital payments
Moving from engineering depth to product and AI leadership
Frequently Asked Questions About Roy Meshulam
Direct answers about my work, professional background, expertise, and contact details.
Who is Roy Meshulam?
Roy Meshulam leads AI & Advanced Data Learning at Mastercard. He is an artificial intelligence and financial technology leader with experience across advanced technical learning, AI and data systems, agentic commerce, software engineering, and regulated financial services.
What does Roy Meshulam do?
Roy Meshulam sets the advanced AI and data learning agenda for technical practitioners at Mastercard. He builds hands-on, production-relevant learning that helps AI engineers, machine learning engineers, data scientists, and specialist roles strengthen their skills and use AI tools more productively.
How does Roy Meshulam help employees build AI expertise?
He creates role-based learning, practical labs, platform scenarios, and progression paths grounded in real AI and data workflows. The focus includes model development, data pipelines, deployment, monitoring, MLOps, LLMOps, reliability, cost, governance, and responsible AI.
What is Roy Meshulam’s professional background?
Roy Meshulam has more than 15 years of experience across Mastercard and UBS Investment Bank. His background includes agentic commerce, e-commerce and contactless payments, digital wallets, FX derivatives technology, software engineering, and project management.
What are Roy Meshulam’s areas of expertise?
His expertise includes artificial intelligence, machine learning, advanced technical learning, MLOps, LLMOps, responsible AI, data and feature pipelines, AI governance, agentic commerce, digital payments, product delivery, and software engineering.
How can I contact Roy Meshulam?
Use the calendar link on this page to schedule a conversation, connect with Roy Meshulam on LinkedIn, or email him directly.
Build deeper AI capability where technical work happens.
Available for conversations on advanced AI learning, technical workforce development, production-ready AI systems, responsible AI, agentic commerce, and financial technology.