Senior Director, Data Products

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

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. With our ongoing commitment to Visa’s Data Values and the responsible use of data, we at Visa have a bold vision to continue to grow and accelerate our data-related businesses and capabilities.

Led by Visa’s first 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 client are typically Visa’s partners in the network ecosystems, like issuers and acquirers. The Senior 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…