Company Description

As the world's leader in digital payments technology, Visa's mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company's dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

You're an Individual. We're the team for you. Together, let's transform the way the world pays.

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 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.

The Data Products team is looking for a Product Analyst to support with requirements and product ownership for data products and platforms. This position will report to the Director of Product Management under the Global Data Office. As a Product Analyst, you will collaborate with cross-functional teams, including product leadership, technology, product operations, regional and global solutions, business intelligence, privacy, and governance, to enable high-quality data products and data platforms for multiple internal and external cases. You will have the opportunity to help shape the future of product and platform capabilities and drive innovation at Visa.

Qualifications

· 2 years of product management or relevant technical/product experience.

· Familiarity with data ecosystems, such as data pipelines, catalogs, storage, lineage, access management, or analytics platforms.

· Ability to write user stories, define acceptance criteria, and collaborate effectively with engineering teams.

· Experience working in Agile environments and participating in sprint planning, backlog prioritization, and release coordination.

· Strong analytical skills, including experience working with data to understand user behavior or validate hypotheses.

· Clear communication skills with the ability to work across engineering, privacy, governance, and product teams.

· Ability to break down complex requirements into manageable deliverables

· Strong communication and documentation skills, including writing PRDs, workflow diagrams, and release notes.

Nice to have

· Have experience working for companies marching scale and size of Visa.

· Exposure to data discovery tools, metadata platforms, workflow engines, or cloud-based data services

· Experience supporting developer or internal platform products.

· Knowledge of analytical and advance analytical workflows, ETL Pipelines, Feature management, or model lifecycle tooling.

· Background in enterprise-scale platforms.

Additional Information

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.