Director, Stablecoin & Digital Assets Risk Intelligence, AI Strategy and Governance

The Director, Stablecoin & Digital Assets Risk Intelligence, AI Strategy and Governance will own the long-term vision, strategy, architecture, governance, and execution of Visa’s stablecoin, digital asset, and AI-enabled risk intelligence capabilities.

Reporting to the Senior Director of the Global CSR team, the Director will lead a team of three and serve as a strategic leader at the intersection of digital asset risk management, emerging technologies, artificial intelligence, data governance, and enterprise risk strategy.

Key Responsibilities

Stablecoin & Digital Asset Risk Strategy and Governance

• Establish and maintain enterprise-wide risk appetite, governance frameworks, approval standards, and ongoing monitoring requirements for stablecoin issuers, digital asset counterparties, crypto infrastructure providers, custodians, exchanges, and blockchain-based financial ecosystems.
• Serve as Visa’s subject matter expert on stablecoin risk management, reserve risk, de-pegging scenarios, liquidity events, blockchain vulnerabilities, custody risks, market contagion, and regulatory developments.
• Design governance mechanisms and risk frameworks that support responsible growth across digital asset initiatives.

Portfolio, Exposure and Liquidity Risk Management

• Develop scalable methodologies for settlement exposure management, concentration limits, liquidity risk, collateral frameworks, reserve assessments, stress testing, scenario modeling, and portfolio monitoring.
• Design advanced risk intelligence capabilities to evaluate stablecoin reserve quality, counterparty financial strength, operational resiliency, and systemic market exposures.
• Lead enterprise-level assessments of digital asset ecosystem risks, including custody, settlement, treasury, and operational dependencies.

Digital Asset Risk Intelligence and Executive Reporting

• Lead proactive surveillance and intelligence functions across stablecoins, digital assets, blockchain networks, and crypto markets.
• Translate financial, regulatory, market, cyber, operational, and on-chain signals into actionable intelligence, executive reporting, risk recommendations, and escalation decisions.
• Develop predictive analytics and early-warning indicators supporting executive and Board-level risk oversight.

AI Architecture, Strategy and Platform Leadership

• Own the vision, roadmap, investment strategy, and architecture for Visa’s Stablecoin and Digital Assets Risk Intelligence Platform.
• Design and deploy next-generation AI-enabled capabilities supporting risk detection, monitoring, reporting, decision support, workflow automation, and operational efficiency.
• Lead the development of scalable enterprise AI frameworks leveraging Large Language Models (LLMs), generative AI, predictive analytics, machine learning, and intelligent automation capabilities.
• Drive the integration of AI technologies into risk operations while ensuring transparency, explainability, governance, and regulatory compliance.

Enterprise AI Governance and Responsible AI Frameworks

• Design and implement enterprise AI governance programs, policies, controls, standards, and oversight processes.
• Establish governance frameworks supporting model validation, explainability, bias monitoring, human oversight, auditability, data lineage, and regulatory compliance.
• Define approval standards and control frameworks for AI-enabled decisioning systems utilized across risk management and business operations.
• Create governance models that balance innovation with regulatory expectations and enterprise risk management requirements.

AI Workflow Automation and Operating Model Transformation

• Design, build, and optimize AI-supported workflows, decision support systems, and operating models across risk management functions.
• Identify opportunities to increase operational effectiveness through AI-enabled automation, intelligent case management, workflow orchestration, and digital assistants.
• Develop enterprise capabilities that leverage advanced AI platforms including ChatGPT, Microsoft Copilot, Claude, Gemini, and other emerging AI technologies.
• Establish standards for AI adoption, prompt governance, workflow design, performance monitoring, and organizational enablement.

Enterprise Operating Model Leadership

• Partner across Treasury, Product, Technology, Legal, Compliance, Data Science, Crypto, AI Engineering, and CSR functions to align strategic priorities and governance standards.
• Establish clear decision rights, accountability structures, controls, escalation protocols, and operating mechanisms for digital asset and AI initiatives.
• Serve as a trusted advisor to executive stakeholders on emerging risks, opportunities, and technology innovation.

Regulatory Foresight and Operational Resilience

• Anticipate regulatory developments impacting stablecoins, digital assets, AI systems, and emerging financial technologies.
• Advise leadership on risk implications associated with liquidity disruptions, reserve impairment, cyber incidents, blockchain failures, digital asset market volatility, sanctions concerns, AI-related operational risks, and other material events.
• Ensure enterprise readiness through scenario planning, contingency frameworks, and resilience testing.

Data, AI Model and Control Governance

• Establish standards and accountability for data quality, AI model performance, model risk management, explainability, validation, access management, control testing, and independent review processes.
• Develop governance frameworks supporting AI lifecycle management from design through deployment and ongoing monitoring.
• Ensure effective human oversight and decision accountability for AI-driven processes and recommendations.

Organizational Leadership and Capability Building

• Build and lead a high-performing team focused on stablecoin risk intelligence, digital asset risk management, AI innovation, and governance excellence.
• Drive enterprise adoption of AI capabilities and digital asset risk practices through education, stakeholder engagement, and capability development.
• Define key performance indicators, risk indicators, and governance metrics demonstrating improved decision quality, risk reduction, operational leverage, and responsible growth.

Qualifications

Basic Qualifications

• 10+ years of professional experience with a Bachelor's degree, 8+ years with an advanced degree (MBA, Master's, JD, MD), or 3+ years with a PhD.
• Advanced and demonstrable expertise in stablecoins, digital assets, blockchain infrastructure, and crypto-economic ecosystems is required.
• Deep understanding of:
• Stablecoin economics and reserve management structures
• Digital asset market infrastructure
• Wallet, custody, and settlement architectures
• On-ramp and off-ramp ecosystems
• Blockchain protocols and distributed ledger technologies
• Digital asset regulatory frameworks and emerging global regulatory developments
• Counterparty, liquidity, treasury, operational, and systemic risk within digital asset ecosystems
• Proven experience developing and executing enterprise digital asset risk management strategies, governance frameworks, approval processes, and monitoring programs.
• Demonstrated expertise in credit risk, financial analysis, quantitative methods, portfolio risk management, stress testing, scenario analysis, executive communication, and senior stakeholder engagement.
• Extensive hands-on experience architecting, designing, deploying, governing, and scaling enterprise AI solutions, including:
• Generative AI
• Large Language Models (LLMs)
• Machine Learning platforms
• AI orchestration frameworks
• Intelligent workflow automation
• AI-enabled decision support systems
• Demonstrated experience establishing AI governance frameworks including:
• Model risk management
• Explainability and transparency standards
• Human oversight controls
• Ethical AI requirements
• Validation and monitoring frameworks
• Responsible AI practices
• Advanced practical experience using and enabling enterprise AI platforms, including:
• Microsoft Copilot
• ChatGPT
• Claude
• Gemini
• Enterprise LLM ecosystems and emerging AI technologies
• Experience designing AI-powered operating models, governance structures, workflow automation capabilities, and enterprise support frameworks.
• Experience establishing governance frameworks, approval standards, control environments, and incident response processes in highly regulated or risk-sensitive environments.
• Ability to translate highly complex technical, regulatory, financial, blockchain, and AI-related issues into actionable business decisions and executive-level recommendations.