Director, Product Management - Data and AI Platform

Director, Product Management - Data and AI Platform

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.

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 help individuals, financial institutions, governments, and businesses realize their greatest potential.

Overview

Mastercard is building a cloud-native data platform to power next-generation, data-driven solutions and services. This platform will deliver a data mesh architecture, advanced technologies, and processes that enable Mastercard to scale and innovate at speed.

We are seeking a strategic product leader to join our Data and AI Platform team. In this role, you will define the vision, set the long-term strategy, and lead execution for Mastercard’s Data and AI platform. You will collaborate across internal teams and external partners to deliver impactful solutions that align with Mastercard’s enterprise goals. This is an exciting opportunity to shape a Data and AI platform from ground up.

What You’ll Do

• Define and own the product vision and long-term strategy for 2 domains of Mastercard’s Data and AI platform, ensuring alignment with business objectives.
• Establish domain roadmap(s) that supports critical business areas and platform capabilities including: Data ingestion landing zones Network, IAM, KMS, secrets Compute provisioning & isolation Base SLAs (availability, performance, DR) Partner (Databricks & Snowflake) enablement AI/ML tooling integration.
• Influence and collaborate with stakeholders across engineering, product management, and operations to align platform strategy with business goals.
• Advocate for and implement modern data architecture principles (data lakes, data warehouses, data meshes) to drive innovation and scalability.
• Partner closely with engineering counterparts, participating in technical discussions and leading requirement workshops.

What You Bring

• 8+ years of experience leading product teams in the Data & AI space within enterprise environments, ideally in a matrix organization.
• Hands-on experience with AWS, Azure, or Google Cloud, and familiarity with AI/ML platforms such as Databricks and Snowflake.
• Deep understanding of core building blocks and run time services needed to build a Data and AI platform is critical.
• Deep understanding of the Data and AI platform landscape, architectural patterns, and emerging technologies.
• Previous experience as a data engineer or data scientist is a strong advantage, especially in building AI/ML solutions for B2B.
• Ability to foster a product-driven culture and champion best practices across the organization.
• Proven experience building and leading cross-functional teams (product, design, data/software engineering, security, etc.) but also act as a subject matter expert as needed.
• Exceptional leadership, communication, and stakeholder management skills, with the ability to influence at all levels.
• Entrepreneurial mindset with agility and a bias for action in a fast-paced environment.

Why Join Us?

At Mastercard, you’ll lead transformative initiatives that shape the future of data and AI in payments and digital commerce. You’ll have the opportunity to innovate at scale, collaborate with world-class teams, and make a global impact.

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.

Key skills/competency

• Data Strategy
• AI Platform Development
• Product Vision
• Roadmap Management
• Cloud Architecture
• Data Mesh
• Stakeholder Management
• Team Leadership
• Enterprise Solutions
• Technical Product Management