Sr. Manager, 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.

The Global Data Office - 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, Government Solutions, the wider data community, and the full set of Visa’s global lines of business, the Global Data Office is evolving Visa’s data and AI-related work with momentum and enthusiasm.

Driven by its commitment to trusted use of data and AI, Visa is seeking enthusiastic leaders who are change agents and passionate about the future of data around the world.

Visa is seeking an accomplished Senior Manager that will drive product innovation and growth for our Government & Merchant Data Products Portfolio. This role is focused on building data-centric products that deliver actionable insights, recommendations, and measurable business impact for our clients.

Key Responsibilities:

You will lead product strategy, development, and commercialization efforts for new and existing Data products. The role requires technical and strategic product skills with a background in Merchant data products a plus. The team values product managers that Act like an Owner & Execute with Excellence.

• Lead the full product lifecycle for data products, from concept to launch, with a focus on leveraging AI and advanced analytics to deliver insights and recommendations
• Engage clients and partners to capture requirements, validate use cases, and drive adoption
• Collaborate with engineering, data science, and AI teams to design and deliver innovative solutions
• Monitor product performance metrics, ensure compliance with data governance, privacy, and responsible AI standards, and drive continuous optimization
• Foster a culture of experimentation, learning, and continuous improvement
• Support go-to-market activities, including pricing, positioning, and product messaging for data and AI-powered solutions

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

Basic Qualifications:

• 8 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD

Preferred Qualifications:

• 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
• Experience working directly with merchants or merchant data products
• Demonstrated success in building and launching new data or AI-powered products
• 5+ years of product management experience, preferably with data-driven, fintech, or payments products
• Technical background (e.g., experience with data engineering, analytics, or AI/ML technologies)
• Strong understanding of data product management, including insights generation, recommendations engines, and data…