Description
The Global Data Office (GDO) at Visa is expanding its AI and Data Governance function to ensure responsible, compliant, and effective use of these capabilities across the enterprise. As a Responsible Data Use Program Lead, you will drive Visa's Responsible Data Use program – evaluating cutting-edge AI and data initiatives – to safeguard trust and unlock business value.
Key Responsibilities:
- Drive and enhance the Data & AI Use Case Assessment process – a key engine of Visa's innovation – enabling calculated, transparent risk-taking for faster business growth.
- Execute a wide range of initiatives to implement Visa's Responsible Data Use framework, including spearheading organizational change management efforts that embed data ethics into the company's culture.
- Collaborate across all Visa regions and functions as a catalyst in Visa's innovation pipeline.
- Conduct thorough Data & AI use case reviews: Examine incoming data use requests in detail and evaluate their risk against established Data & AI policies and rules.
- Lead end-to-end analysis of use cases: Take charge of reviews for complex AI and data projects.
- Take ownership of expert consultations: Engage internal subject-matter experts (legal, compliance, technology, etc.) to gather feedback on data use scenarios that fall outside existing guidelines.
- Drive policy improvements: Proactively identify gaps or gray areas in current data use policies.
- Champion training and awareness: Help lead workshops and training sessions that educate Visa staff on our Data Use Policy and core data values.
- Amplify our Data & AI Policy & Governance message: Create and curate engaging content for the Global Data Office's internal sites and our external 'Data @ Visa' pages.
- Communicate progress and insights: Prepare compelling materials (presentations, reports, dashboards) to socialize Data & AI Use Policy developments and share insights from Data Use Case Assessment reviews with stakeholders at all levels.
- Take on new challenges: Support ad-hoc Data Policy projects and new initiatives as they arise.
- Connect policy and practice: Make sure learnings from Data & AI use case reviews inform the broader data governance strategy.
- Partner with data stakeholders: Work closely with Data Stewards and data requestors to gather complete and detailed information for each use case upfront.
Requirements:
- 5 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Master's, MBA, JD, MD) or 0 years of work experience with a PhD
Preferred Qualifications:
- 6 or more years of work experience with a Bachelor's Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Master's, MBA, JD, MD) or up to 3 years of relevant experience with a PhD
- Proven experience in data and AI domains: Solid background in data science, data governance, data privacy, or a related field.
- Deep understanding of AI/ML technologies: Familiarity with cutting-edge techniques – particularly generative AI and large language models (LLMs) – and a strong awareness of ethical AI and responsible data use frameworks.
- Technical proficiency: Hands-on skills in quantitative analysis and data tooling (e.g. statistics, coding, or data engineering).
- Knowledge of data regulations: Familiarity with evolving data and AI legislation (e.g., EU AI Act, GDPR, CCPA) and the ability to incorporate regulatory requirements into your assessments and recommendations.
Benefits:
- Comprehensive benefits package that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program