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Visa

Runs a global network for digital payments

Director, Data and AI Governance

Risk & ComplianceConfirmed live in the last 24 hours
Full-timeFoster City, CA, USA

About the Job

Requirements

  • At least 10 years of work experience with a bachelor's degree, at least 8 years with an advanced degree (such as a master's, MBA, JD, or MD), or at least 3 years with a PhD.
  • Relevant experience in data governance, AI governance, risk management, privacy, compliance, cybersecurity, model risk, technology governance, product governance, or a related field, including reviewing initiatives and advising stakeholders.
  • Working knowledge of data and AI lifecycle concepts and associated governance risks.
  • Experience interpreting policies, standards, controls, or regulatory requirements; validating implementation and supporting evidence; and coordinating remediation when gaps are identified.
  • Ability to evaluate complex or incomplete information using analytical and problem-solving skills.
  • Strong written and verbal communication skills.
  • Ability to translate technical and governance requirements into clear, practical guidance for non-specialist and executive audiences.
  • Experience working across business, product, technology, legal, privacy, security, risk, or compliance teams.
  • Ability to manage multiple reviews, actions, and deadlines with strong organizational skills.
  • Judgment and influence to balance executive priorities against risk-based outcomes, provide credible challenge, and escalate or recommend pausing activity when requirements are not met.
  • Hands-on experience reviewing, developing, testing, or governing machine learning, predictive AI, generative AI, or agentic AI solutions across their lifecycle.
  • Familiarity with data inventories, model inventories, governance workflow tools, risk and control systems, or data catalogs.
  • Knowledge of data classification, metadata management, lineage, retention, access controls, data quality, model validation, or ongoing monitoring.
  • Familiarity with relevant data protection, AI, technology, or financial-services regulatory frameworks.
  • Experience supporting control testing, quality assurance, audit, regulatory examinations, or issue remediation.
  • Experience standardizing governance inputs, evidence, taxonomies, or decision criteria and developing reusable guidance, training, playbooks, or automated workflows.
  • Experience contributing to process or organizational transformation involving AI-enabled or agentic workflows, including effective human oversight and adoption.
  • Bachelor’s degree or equivalent practical experience.

Responsibilities

  • Serve as the accountable governance representative for assigned business functions, helping ensure that data and AI activities are understood, risks are managed, controls are in place, and governance requirements are met within established service levels.
  • Review assigned data and AI initiatives for submission completeness and compliance; identify privacy, security, data quality, model, legal, regulatory, ethical, and operational risks; coordinate subject-matter expert review; and support risk acceptance, exceptions, and escalation.
  • Provide practical, risk-based guidance to initiative owners and advise executives on governance risks, options, trade-offs, and required controls, including escalating or recommending that activity be paused or modified when requirements are not met.
  • Ensure accurate, complete, and high-quality records for data and AI systems, models, and use cases, including ownership, classification, metadata, lineage, access, retention, quality, controls, validation evidence, and lifecycle status.
  • Validate that required controls are implemented, operating effectively, and supported by appropriate evidence; challenge unsupported assertions; coordinate remediation of identified gaps through closure; and perform quality assurance and peer review of governance decisions.
  • Design, develop, test, and continuously improve AI-enabled stewardship agents that augment governance activities while maintaining appropriate human oversight, accountability, and controls.
  • Drive standardization of governance inputs, evidence, taxonomies, and decision criteria to improve consistency, enable automation, and support scalable agentic workflows.
  • Contribute to organizational transformation initiatives that integrate agentic capabilities into governance processes, including redesigning workflows, defining effective human-agent interaction, and supporting responsible adoption.
  • Build governance readiness within the business through training, coaching, awareness activities, and proactive engagement with initiative owners and stakeholders; communicate relevant policy, process, and regulatory updates; and participate in governance forums and communities of practice.
  • Act as the business-level conduit to central Data and AI Policy and Governance teams by contributing business insight to policies, standards, controls, and guidance; translating requirements into practical actions; and communicating implementation challenges and emerging risks.

Desired Qualifications

  • At least 12 years of work experience with a bachelor's degree, 8–10 years with an advanced degree (such as a master's, MBA, JD, or MD), or 6 or more years with a PhD.
  • A relevant professional certification in data governance, privacy, risk, security, compliance, audit, or AI governance.

About the Company

Visa

Runs a global network for digital payments

Visa runs a global payment network that connects banks, merchants and consumers so card purchases and money transfers move between financial institutions. Its VisaNet system handles authorization, clearing and settlement, linking the bank behind a buyer's card with the bank that accepts a merchant's payment. The company earns fees from payment activity, transaction processing and international transactions, and sells fraud prevention tools, payment software and consulting services to businesses. Banks and other partners issue Visa branded cards and use its technology to build their own payment products. Visa traces its roots to a Bank of America card program launched in 1958 and is headquartered in San Francisco.

Company size
10,001+
Company stage
N/A
Total funding
$24.2M
Headquarters
San Francisco, CA
Founded
1958

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