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Job Description

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

Job Description

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.

This role requires deep subject matter expertise in stablecoins, digital assets, blockchain infrastructure, and crypto risk management, combined with advanced experience designing, deploying, governing, and scaling enterprise AI systems. The successful candidate will be responsible for anticipating evolving stablecoin risks, market structures, technologies, regulatory developments, and AI-driven transformation opportunities while building the governance, analytical, operational, and decision-support capabilities necessary to enable responsible growth.

The Director will act as a key advisor to executive leadership, driving innovation across risk intelligence platforms, AI-enabled workflows, governance frameworks, and enterprise decision-making processes.

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, explain ability, 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, explain ability, 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, explain ability, 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.

Preferred Qualifications

• 12+ years of professional experience with a bachelor’s degree, 8-10 years with an advanced degree, or 6+ years with a PhD.
• Executive-level experience leading enterprise-wide digital asset, stablecoin, AI, risk, compliance, or governance programs.
• Proven experience building AI Centers of Excellence, AI governance programs, enterprise AI operating models, or large-scale AI transformation initiatives.
• Demonstrated success leading cross-functional teams in highly complex environments involving financial services, digital assets, blockchain technologies, and AI platforms.
• Strong understanding of AI architecture, enterprise integration patterns, agent-based AI systems, Retrieval Augmented Generation (RAG), knowledge management frameworks, and workflow orchestration technologies.
• Experience building AI-assisted risk management, monitoring, investigation, compliance, fraud detection, or intelligence platforms.
• Proven ability to independently drive strategic initiatives, exercise sound judgement, influence executive stakeholders, and deliver measurable business outcomes.
• Strong people leadership capabilities, including coaching and developing analysts, data scientists, risk professionals, and AI practitioners while maintaining high standards of analytical rigor and execution excellence.

Information for US Applicants

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer