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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Manages enterprise data stewardship and governance processes, triaging issues, analyzing data lineage and root causes, documenting decisions, maintaining metadata and glossary content in Atlan, and producing audit-ready reporting. Develops governance playbooks, supports steward onboarding and training, facilitates stakeholder meetings, and drives adoption of federated data and AI management practices across business teams.
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Leads product marketing and go-to-market strategy for Mastercard growth platforms in Japan, including affluent, cross-border, high-value consumer, and ESG solutions. Develops value propositions, scalable marketing frameworks, integrated campaigns, customer toolkits, and activation plans. Partners with product, sales, services, issuers, agencies, and internal stakeholders to drive adoption and usage. Uses analytics, ROI analysis, and performance metrics to optimize investments and report business impact.
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Leads Mastercard Japan’s strategic partnership and sponsorship strategy, including asset sourcing, negotiation, productization, activation, customer engagement, monetization, and performance measurement. Builds scalable B2C, B2B, and B2B2C marketing platforms across culture, entertainment, and sports partnerships. Advises issuer and merchant customers, manages rights holders and agencies, and collaborates with cross-functional teams to drive brand preference, customer growth, revenue, and measurable commercial impact.
