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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Vice President, Data Management Platforms (Product... - **Company:** Mastercard - **Location:** Harrison, NY, United States - **Salary:** $204,000.0 - $326,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Customer Data Management, Data Governance, Meta-Data Management, Enterprise Data Management, Data Management, Marketplace - **Published:** August 3, 2026 - **Apply:** https://www.juju.com/job/00000000glux45 ## About the Role * 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 management capabilities. * Have advanced business product management expertise for enterprise platforms, including strategy, roadmap ownership, stakeholder alignment, prioritization, adoption, implementation partnership, and lifecycle management. * Be able to work effectively with Technology teams to turn business, governance, and platform needs into implementable capabilities and sustainable operating models. * Operate effectively across Data Governance, Technology, Privacy, Security, Product, and regional stakeholders, balancing usability, control, scalability, and auditability. * Communicate clearly with senior leaders and cross-functional partners, including the ability to explain metadata, governance, platform, and context-layer concepts in business terms. * Develop talent, set clear objectives, and create an environment where teams can deliver consistently across complex enterprise platform and governance programs. ## Description _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._, 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. Role 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Launching a marketplace on-time: A lesson in taking shortcuts using spreadsheets!](https://www.wearedevelopers.com/videos/477-launching-a-marketplace-on-time-a-lesson-in-taking-shortcuts-using-spreadsheets) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [AI beyond the code: Master your organisational AI implementation.](https://www.wearedevelopers.com/videos/1248-ai-beyond-the-code-master-your-organisational-ai-implementation) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)