Vice President, Data Management Platforms (Product Development

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Vice President, Data Management Platforms (Product Development)

Who is Mastercard?

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

The Data Governance and Enablement team is looking for a Vice President, Data Management Platforms to lead business product management for Mastercard’s enterprise metadata, catalog, governance, lineage, marketplace, and usage/observability platform capabilities. This role is accountable for the product strategy, roadmap, adoption priorities, and measurable business outcomes for platforms such as Atlan and related metadata ecosystem capabilities.

The ideal candidate is a strong enterprise product leader who can partner with Technology to turn strategy into scalable platform capabilities, while serving Data Governance teams and data user communities as key internal customers. This role will help make trusted metadata available through an enterprise context layer so users, platforms, data products, analytics, and AI use cases can better discover, understand, govern, and reuse Mastercard data.

In this enterprise product leadership position, you will:

• Own the business product strategy, roadmap, and measurable outcomes for Mastercard’s data management platform capabilities, including metadata, catalog, lineage, marketplace, governance, and usage/observability capabilities.
• Partner with Technology to translate platform strategy into scalable implementation plans, integrations, release priorities, controls, and operational support models.
• Lead the product direction for the data catalog and governance platform, and related metadata ecosystem capabilities, including connectivity expansion, metadata publication, lineage, classification, data product and marketplace integration, and transition from legacy cataloging capabilities where appropriate.
• Partner with the Platform Onboarding team to scale adoption, onboarding, training, communications, user readiness, and operational engagement across data stewards, data product owners, engineering teams, analysts, data scientists, and AI/platform teams.
• Serve Data Governance teams and data users communities as key internal customers, translating governance standards, stewardship needs, data product requirements, marketplace needs, and certification expectations into practical platform capabilities.
• Advance Mastercard’s enterprise metadata context layer by making trusted definitions, ownership, lineage, usage, certification, and governance signals available to users, platforms, analytics, and AI use cases.
• Build and lead a high-performing team responsible for platform product management, stakeholder engagement, prioritization, adoption measurement, and continuous improvement across Mastercard’s data knowledge ecosystem.

The ideal candidate for this position should:

• Extensive experience with data catalog and data governance platforms
• Understand metadata, data cataloging, lineage, governance workflows, data products, marketplace concepts, usage/observability signals, or similar enterprise data…