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
Director, Product Management - AI Platform
Job Posting Title
Director, Product Management – AI Platform
Job Description Summary
Who is Mastercard
Mastercard is a global technology company in the payments industry. We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible.
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.
Overview:
In virtually every country worldwide, Micro, Small, and Medium Businesses (SMEs) are the lifeblood of economic vitality. Mastercard is dedicated to enabling businesses to survive and thrive stronger than before. Our rallying cry is Empowering Every Business Everywhere. This segment is central to Mastercard’s growth strategy - not only because of their global impact but also because of SMEs’ significant role in the payment ecosystem as both payers and acceptors of electronic payments.
The Director of Product Management is responsible for defining and delivering the product strategy, roadmap, and outcomes for an enterprise, cloud-native AI 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 AI platform.
- 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 AI 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 AI products.
- 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.
Corporate Security Responsibility
Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks come with inherent risk and therefore it is expected that the successful candidate will:
Abide by Mastercard's security policies and practices
Ensure the confidentiality and integrity of the information being accessed
Report any suspected information security violation or breach
Complete all mandatory security trainings in accordance with Mastercard's guidelines
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
