Vice President, Product Management - Data Platform

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. Title and Summary Vice President, Product Management - Data Platform Overview The Vice President, Product Management is responsible for defining and delivering the product strategy, roadmap, and outcomes for an enterprise, cloud-native data platform that enables a federated data mesh across the organization. This platform serves as the foundation for analytics, AI/ML, data products, and data commercialization use cases at scale. In this role, you will lead a portfolio of platform capabilities—including data ingestion, storage, processing, platform observability and FinOps—designed to empower domain teams to own and publish high-quality data products while maintaining enterprise-grade security, compliance, and reliability. You will work closely with Engineering, Architecture, Product Operations, Finance, and Business stakeholders to ensure the platform enables self-service, scalability, and innovation while aligning with enterprise standards and strategic objectives. Key Responsibilities Product Strategy & Vision • Define and evolve the product vision and strategy for the enterprise data platform supporting a federated data mesh. • Articulate a clear target state for the platform, aligned to enterprise data, analytics, and AI strategies. • Translate business and domain needs into scalable platform capabilities and services. Roadmap & Capability Ownership • Own the platform product roadmap, including prioritization of capabilities such as: • Data ingestion and integration (batch, streaming, source connectors) • Data Lakehouse and analytical storage • Orchestration framework (airflow patterns), transformation libraries, data contracts, etc. • Platform SLOs, Reliability engineering, Usage analytics, etc. • Cost attribution & chargeback (including forecasting) • Balance near-term delivery with long-term architectural integrity and scalability. Data Mesh Enablement • Enable domain teams to operate as data product owners by providing clear standards, tooling, and self-service capabilities. • Partner with Data Governance to embed federated governance and policy enforcement into the platform. • Ensure the platform reduces friction while maintaining enterprise guardrails. Cross-Functional Leadership • Partner with Engineering to translate product requirements into executable technical plans. • Collaborate with Product Operations on adoption, enablement, and customer experience. • Work with Architecture, Security, Legal, and Risk teams to ensure platform compliance and resilience. • Influence without direct authority across distributed, global teams. Delivery & Execution • Ensure platform capabilities are delivered with a strong focus on quality, reliability, and readiness for enterprise-scale launch. • Define success metrics and ensure outcomes align to business and platform goals. • Drive continuous improvement through customer feedback, usage insights, and performance data. Stakeholder Engagement & Communication • Serve as the primary product leader and evangelist for the data platform. • Build strong relationships with senior executives and domain leaders. • Communicate platform value, roadmap progress, and outcomes in clear, executive-ready language. Skills & Experience Required Qualifications • Proven experience in Product Management, with significant experience leading enterprise platform products. • Proven experience building or scaling cloud-native data platforms or large-scale analytics platforms. • Deep understandi ... (truncated, view full listing at source)