Manager, Data & AI Review Enablement

Visa•Foster City, CA

8d•$156,800 - $251,100•Hybrid

About The Position

Visa’s Global Data Office is expanding its AI and Data Governance function to support responsible, compliant, and effective use of data and AI across the enterprise. The role drives Visa’s Responsible Data Use program by evaluating AI and data initiatives, helping safeguard trust, and enabling business value while ensuring obligations to clients, regulators, and consumers are met. It leads cross-functional collaboration and mission-critical processes that shape policies governing data and AI use at Visa. The position enhances the Data & AI Use Case Assessment process, implements Visa’s Responsible Data Use framework, and coordinates globally with teams to operationalize data use guidelines. It reviews use cases and risks against policy, leads complex assessments, consults subject-matter experts, and recommends policy improvements. It also supports training and awareness, creates governance communications and content, reports progress and review insights, and connects review learnings to broader data governance strategy. The role requires at least three days in the office; the specific days will be confirmed by the Hiring Manager. Work hours vary according to departmental needs, and travel is required 5–10% of the time. The role is performed in an office setting and involves sitting and standing at a desk, communicating in person and by telephone, and frequently using standard office equipment such as telephones and computers.

Requirements

At least 5 years of relevant work experience with a bachelor’s degree, or at least 2 years with an advanced degree (e.g., Master’s, MBA, JD, MD), or 0 years with a PhD.
Background in data science, data governance, data privacy, or a related field.
Familiarity with AI/ML technologies, particularly generative AI and large language models, and awareness of ethical AI and responsible data use frameworks.
Hands-on capability in quantitative analysis and data tooling such as statistics, coding, or data engineering; ability to interpret complex datasets and algorithms and understand the use of mathematics and statistics in policy compliance assessments.
Familiarity with evolving data and AI legislation, such as the EU AI Act, GDPR, and CCPA, and ability to incorporate regulatory requirements into assessments and recommendations.
Strong problem-solving skills for complex data challenges, including finding solutions that meet policy objectives while enabling business innovation.
Demonstrated delivery of high-impact projects in fast-paced, high-volume environments, with the ability to manage multiple priorities while maintaining quality.
Strong communication, interpersonal, and stakeholder-management skills, including the ability to engage and influence cross-functional teams.
Ability to interpret complex technical documents and translate legal or technical content into clear, actionable guidance for non-technical audiences.
Ability to perform effectively under pressure and meet tight deadlines while maintaining quality.
Collaborative and diplomatic approach, with the ability to build relationships across diverse teams and lead by example.
Attention to detail and commitment to producing accurate, high-quality work.
Analytical rigor and a systematic, resourceful approach to complex or ambiguous problems.
Self-motivation, accountability, and ability to take ownership and advance initiatives with minimal oversight.
Adaptability in fast-changing and ambiguous environments.
Openness to feedback and new ideas and willingness to improve existing processes.
Results-driven approach, enthusiasm, and focus on delivering impact.
Global mindset and respect for diverse perspectives and cultural differences.

Nice To Haves

Six or more years of work experience with a bachelor’s degree, or four or more years of relevant experience with an advanced degree, or up to three years of relevant experience with a PhD.
Experience in the payments or fintech industry.

Responsibilities

Drive and continuously improve the Data & AI Use Case Assessment process to support AI and data initiatives while maintaining compliance and trust.
Implement Visa’s Responsible Data Use framework, including organizational change management to embed data ethics in the company’s culture.
Collaborate with teams across regions and functions to operationalize data use guidelines globally and ensure projects meet applicable standards and obligations.
Review incoming Data & AI use requests in detail and assess risks against established policies and rules, examining technical specifics when needed.
Lead end-to-end reviews of complex AI and data projects, identify and document risks, gather subject-matter expertise as needed, and produce clear, actionable review reports.
Coordinate consultations with internal legal, compliance, technology, and other experts on scenarios outside existing guidelines.
Identify gaps and ambiguities in data use policies and coordinate recommendations for policy updates or alternative solutions, supported by analysis.
Help lead workshops and training sessions on Visa’s Data Use Policy and core data values.
Create and curate content for Global Data Office internal sites and external Data @ Visa pages.
Prepare presentations, reports, and dashboards to communicate policy developments and assessment insights to stakeholders.
Support ad-hoc Data Policy projects and new initiatives, including responses to regulatory changes and novel business proposals.
Share insights from use case reviews across teams so that policies, guidelines, and operations inform the broader data governance strategy.
Work with Data Stewards and data requestors to collect complete and detailed information for each use case.