At a Glance
- Tasks: Lead AI and data governance initiatives, ensuring responsible use of technology across Visa.
- Company: Join Visa, a global leader in digital payments, driving innovation in AI and data governance.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI policy development, shaping the future of responsible innovation.
- Qualifications: Bachelor's or advanced degree in relevant fields; experience in AI governance or data ethics preferred.
- Other info: Visa values diversity and encourages applications from all backgrounds.
The predicted salary is between 54000 - 84000 £ per year.
As artificial intelligence and data-driven technologies become increasingly central to Visa’s innovation agenda, the Global Data Office (GDO) is expanding its AI and Data Governance function to ensure responsible, compliant, and effective use of these capabilities across the enterprise. The Director, AI and Data Governance, will serve as a senior leader within the Data & AI Policy team—acting as a strategic partner to the team lead and a visible internal and external expert on responsible innovation.
This role is ideal for a rare hybrid leader: someone who not only understands the complexities of AI and data policy but also brings hands-on experience in building or deploying advanced AI solutions or managing their security. The Director will help shape Visa’s global AI and data standards, guide regulatory readiness, and lead cross-functional efforts to embed governance into the design and deployment of AI systems and data use practices.
Primary responsibilities
Serve as a deputy for the Global Data and AI Policy Lead, providing leadership continuity and strategic input across team priorities.
Represent the team in senior-level forums and cross-functional steering committees as needed.
Lead the development and continuous refinement of Visa’s enterprise-wide Data Use and AI governance standards, frameworks, and playbooks, ensuring alignment with Visa’s Data and AI Principles and global risk posture.
Partner closely with the Global Privacy Office (GPO) and Government Engagement (GE) teams to monitor, interpret, and incorporate evolving regulatory requirements—such as the EU AI Act—into Visa’s internal AI policies and control frameworks.
Act as a subject matter expert and trusted advisor to Legal, Risk, Privacy, Technology, and Business teams on AI and data policy topics.
Support Visa’s participation in industry forums, regulatory consultations, and public-private partnerships on AI and data governance.
Contribute to internal training, awareness, and capability-building efforts to embed responsible data use and AI practices across the enterprise.
Collaborate with Technology, Risk, Product and Data Science teams to ensure governance is embedded in AI development workflows by serving as Policy partner.
Support the implementation of governance controls across the AI lifecycle, including ViDA360 assessments, model risk management, and red teaming for generative AI and LLMs in partnership with other teams – GDO, Privacy, Risk MRM, Technology.
Support establishment and maintenance of risk monitoring programs, including fairness, explainability, and performance assessments, to ensure responsible AI deployment.
Engage with technical and non-technical stakeholders to understand AI implementation challenges and opportunities and adjust the Policy guidance accordingly.
This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager.
Preferred Qualifications
(-) Bachelor\’s degree in computer science, Cybersecurity, Data Science, Engineering, Public Policy, Law, or a related field OR Advanced degree (e.g., Master’s, JD, or PhD) in a relevant discipline
(-)Certifications in AI governance, data privacy, or risk management are a plus.
(-)Proven Successful professional experience in AI governance or technology building, data science, cybersecurity, model risk, or data ethics within a regulated industry.
(-)Strong understanding of AI/ML technologies, particularly generative AI and LLMs.
(-)Demonstrated ability to lead cross-functional projects and influence senior stakeholders.
(-)Robust knowledge of global AI regulatory trends (e.g., EU AI Act, NIST AI RMF) and experience with ethical Data use and AI frameworks.
(-)Excellent communication and analytical skills.
(-)Advanced oral and written English language proficiency.
Strategic and Functional Excellence
(-) A proven track record of delivering materials on complex topics in clear and simple form
(-) Ability to translate legal and regulatory requirements into actional guidance for product managers and engineers through playbooks and frameworks
(-) A professional capacity for strong enthusiasm and accountability
(-) High attention to detail and quality
(-) Highly adaptive, comfortable working within a complex, and often ambiguous, environment.
(-) Creative thinker who thrives despite changing circumstances
(-) Ability to make and keep strategic priorities on-track without distraction
(-) Outstanding written, verbal, and presentation communications skills appropriate for a wide, global audience. Capable of summarizing complex issues into succinct messaging
(-) Proactive and effective communicator. Experienced at presenting information at senior levels, facilitating group discussions and debate with the ability to influence across geographic and functional lines (whether virtual or in-person)
(-) Strong business acumen and understanding of Visa and Client business models
Stakeholder Management
(-) Team-oriented, collaborative, diplomatic, and flexible, with proven ability to build strong working relationships with internal and external clients at all levels of management and work on complex issues within cross-functional teams
(-) Self-starter who can responsibly advance work and is comfortable making sound, well-informed judgement calls for progress, without needless delays
(-) Open-minded and willing to listen to ideas and opinions from others. Able to look for new solutions when current processes don\’t work
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
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Data and AI Policy Development employer: Visa Inc.
Contact Detail:
Visa Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data and AI Policy Development
✨Tip Number 1
Network with professionals in the AI and data governance space. Attend industry conferences, webinars, or local meetups to connect with experts and learn about the latest trends and challenges in AI policy development.
✨Tip Number 2
Stay updated on global AI regulatory trends, especially the EU AI Act. Understanding these regulations will not only enhance your knowledge but also demonstrate your commitment to responsible AI practices during interviews.
✨Tip Number 3
Engage with online communities and forums focused on AI governance and data ethics. Participating in discussions can help you gain insights and showcase your expertise when interacting with potential employers.
✨Tip Number 4
Consider obtaining relevant certifications in AI governance or data privacy. These credentials can set you apart from other candidates and show your dedication to the field, making you a more attractive applicant for the role.
We think you need these skills to ace Data and AI Policy Development
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI governance, data science, and regulatory compliance. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about AI and data governance. Mention specific experiences that align with Visa's mission and how you can contribute to their goals.
Showcase Your Communication Skills: Since the role requires excellent communication abilities, provide examples of how you've effectively communicated complex topics in previous roles. This could be through presentations, reports, or team collaborations.
Highlight Leadership Experience: Emphasise any leadership roles you've held, particularly those involving cross-functional teams. Discuss how you influenced stakeholders and drove projects to success, as this is crucial for the position at Visa.
How to prepare for a job interview at Visa Inc.
✨Understand the Role Deeply
Before your interview, make sure you thoroughly understand the responsibilities and expectations of the Director, AI and Data Governance role. Familiarise yourself with Visa's AI and data governance standards, frameworks, and the regulatory landscape, especially the EU AI Act.
✨Showcase Your Experience
Be prepared to discuss your hands-on experience in building or deploying advanced AI solutions. Highlight specific projects where you've managed security or compliance aspects, as this will demonstrate your capability to handle the complexities of AI and data policy.
✨Communicate Clearly
Given the need for excellent communication skills, practice summarising complex topics into clear, actionable insights. Be ready to explain how you would translate legal and regulatory requirements into practical guidance for teams, using examples from your past work.
✨Engage with Stakeholders
Prepare to discuss how you've successfully collaborated with cross-functional teams in previous roles. Share examples of how you've influenced senior stakeholders and built strong working relationships, as this is crucial for the collaborative nature of the position.