Mastercard
All Teams
AI and Data
At Mastercard, our AI and Data teams set direction, build shared capabilities, and work side-by-side with cross-functional teams to scale AI and data responsibly across the organization. They help solve challenges that cut across products, regions, and customer needs. Examples include: - building AI systems that support safer, smarter, and more personal commerce - developing shared data platforms and lakehouse capabilities to accelerate innovation - improving data discoverability, quality, and lifecycle management - advancing AI deployment, monitoring, and operations at enterprise scale - supporting new AI ideas through a structured AI intake and prioritization process
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Mastercard Employee Perspectives
What People Are Saying About Mastercard
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Work-Life Balance: Feedback suggests work-life balance is often strong for AI and software engineers, with hybrid arrangements and solid benefits. A Lead AI Engineer and other engineering perspectives highlight reasonable hours alongside capable teammates.
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Learning & Development: Mastercard promotes AI training for engineers and data scientists, hands-on workshops, and internal communities like the AI & Data Science Guild and AI Enthusiast Collective. Mentorship and structured career development are also emphasized within the AI & Data organization.
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Team Support: Colleagues are often seen as talented and collaborative, with AI engineers working cross-functionally with product and other engineering teams. The culture highlights teamwork, candor, care, and “one team” delivery.
Recently posted jobs
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Develop and advance Mastercard’s global AI policy positions, narratives, and advocacy strategies. Advise internal executives, business units, government affairs teams, regulators, and standards bodies on AI legislation, regulation, governance, standards, and emerging risks. Translate AI business objectives into policy frameworks, produce policy briefs and executive materials, support consultations and thought leadership, and promote consistent, innovation-enabling AI policies across global markets.
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Designs, develops, and maintains scalable full-stack web applications using React.js and Node.js. Builds reusable frontend components, backend services, APIs, database integrations, authentication, and performance solutions. Uses AI-assisted development tools such as Claude and GitHub Copilot for coding, testing, debugging, documentation, and code review while validating output responsibly. Collaborates across product, design, QA, and engineering teams, mentors junior developers, conducts code reviews, troubleshoots production issues, and contributes to architecture and technical decisions.
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Supports HR operations, people analytics, employee services, and regional initiatives. The role resolves complex HR inquiries, prepares workforce and program reports, manages confidential data, coordinates benefits and compliance projects, and identifies process improvements. It partners with employees, leaders, HR teams, and Centers of Excellence to standardize practices, improve service delivery, and support workforce planning, rewards, engagement, and learning programs across multiple markets.
