Director, Global Data Office

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters — to you, to your community, and to the world.

Progress starts with you.

Job Description

With data being the fuel that drives our future—our strategies, policies, and business successes around data will define our future growth prospects. Unlocking the value available through the innovative use of data on behalf of consumers, businesses, and communities is key to our future.

Led by Visa’s Chief Data Officer, the Global Data Office coordinates high impact, complex, company wide projects related to data business strategy, critical investments, policy development, and marketplace execution. Working closely with Visa’s Chief Privacy Officer, the Technology organization, the wider data community, and the full set of Visa’s global lines of business, the Global Data Office is evolving Visa’s data related work with momentum and enthusiasm. Driven by its commitment to trusted use of data, Visa is seeking enthusiastic leaders who are change agents and passionate about the future of data around the world.

This position plays a critical role in developing commercial data products for enterprise clients—overseeing product management teams and creating cross functional alignment across the company. The clients are typically Visa’s partners in the network ecosystems, like issuers and acquirers. The&nbsp Director will need to secure internal alignment and ensure products follow a disciplined structure from ideation → POC → MVP → GA, driving excellence for all kinds of data products such as dashboards, APIs, model scores, and decisioning tools that deliver measurable business value.

Key Responsibilities:

Market & Customer Insight:

• Identify user needs for dashboards, APIs, model scores, and decisioning tools conduct research to validate problems and align solutions to business outcomes.

Product Vision & Roadmap:

• Define strategy and a compelling multi year roadmap prioritize features (e.g., data visualization, API integrations, ML model accuracy) and plan releases that balance customer impact, technical feasibility, and compliance.

Agentic AI & ML Integration:

• Design and deliver agentic AI capabilities—goal driven AI agents that autonomously plan, act, and adapt across workflows (e.g., anomaly detection, automated reporting, intelligent routing of data tasks). Establish AI safety & governance mitigate risks like prompt injection, model/data poisoning, and ensure human in the loop review, audit trails, and secure orchestration of autonomous agents.

Cross Functional Collaboration:

• Partner with data scientists, engineers, analysts, designers, and business stakeholders translate business needs into technical requirements and communicate product value to non technical audiences.

Feature Definition & Prioritization:

• Specify requirements for data quality, security, privacy (e.g., GDPR/CCPA compliance), usability, and scalability ensure privacy by design and security by design principles are embedded.

Execution & Development Oversight:

• Own the lifecycle from concept to launch and beyond work with engineering to design, develop, and ship secure, scalable data products (including APIs, dashboards, and model serving).

Launch & Iteration:

• Lead go to market in partnership with Sales/GTM, Marketing, and Customer Success gather feedback and iterate using adoption, accuracy, latency, error rate, and ROI metrics.

Performance Monitoring:

• Define and track product KPIs (usage, latency, error rates, data freshness, model performance) instrument telemetry and observability across services and user journeys.

Data Governance & Quality:

• Implement policies and tooling for data lineage, consent management, retention, and compliance partner with Legal, Privacy, and Security to meet global regulations.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Basic Qualifications:

• 10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD

Preferred Qualifications:

• 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
• 10+ years in product management with experience leading PMs or cross functional initiatives at increasing levels of responsibility
• Bachelor’s degree in Computer Science, Engineering, or a quantitative field (or equivalent experience) advanced degree (e.g., MS, MBA) a plus.
• Technical Fluency: Hands on familiarity with modern data platforms and cloud services (AWS/Azure/GCP), including data pipelines, storage, streaming, and observability.
• Security/Privacy: Working knowledge of global data privacy regulations (GDPR, CCPA/CPRA) and privacy by design principles.
• Leadership & Communication: Proven ability to align stakeholders and lead cross functional teams clear communication to both technical and non technical audiences.
• Metrics & Iteration: Track record of defining KPIs and iterating post launch to drive adoption and business outcomes.
• Agentic AI & ML Product Experience: Background building AI enabled or agentic AI products familiarity with planning/action/feedback loops and multi agent orchestration.
• Organizational Change: Proven record driving effective organizational change and aligning on a vision in a global matrixed organization.
• AI Safety & Governance: Experience mitigating prompt injection and data/model poisoning risks familiarity with secure AI frameworks.
• Certifications (Plus): Pragmatic Institute (PM) and/or relevant cloud certifications (AWS/GCP/Azure).
• Adaptability: Highly adaptive, comfortable working within complex and ambiguous environments.
• Communication: Proactive communicator, experienced at presenting information to senior levels and facilitating discussions across geographic and functional lines.

Additional Information

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. 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.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for this position is 192,300.00 to 307,600.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.