Vice President, Product Management - Data Platform
Job
Mastercard
O'Fallon, MO (In Person)
$265,000 Salary, Full-Time
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Job Description
Company:
Mastercard Location:
O'Fallon, MO Career Level:
Executive Industries:
Banking, Insurance, Financial Services Description 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 understanding of data mesh concepts, including domain ownership, data products, federated governance, and self-service infrastructure.
- Experience with modern data technologies and ecosystems, such as:
- Cloud platforms (AWS, Azure, GCP)
- Lakehouse and analytics platforms (e.g., Databricks, Snowflake)
- Streaming, APIs, and event-driven architectures
- Strong analytical and systems-thinking skills. Preferred Qualifications
- Experience in highly regulated industries such as financial services, payments, or healthcare.
- Familiarity with AI/ML platforms and data-driven product development.
- Experience working in global, matrixed organizations. Leadership & Soft Skills
- Strategic thinker with a strong bias toward execution.
- Excellent communication and storytelling skills, including executive-level presentations.
- Ability to navigate ambiguity and drive alignment across diverse stakeholders.
- Strong people leadership experience, including mentoring and developing senior product managers.
- Customer-centric mindset with empathy for both technical and non-technical users.
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