Director, Global Data Office

Company Description

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: