Jobs at Mastercard

Leads the development and production deployment of advanced data science and machine learning solutions for cybersecurity, payments, and fraud. Designs scalable graph analytics, models complex risk patterns, builds data pipelines using Python, SQL, Spark, Hadoop, and Databricks, and establishes validation and monitoring strategies. Partners with engineering, cybersecurity, product, and operations teams, communicates insights to stakeholders, and manages and mentors junior data scientists.

Leads Mastercard’s global AI thought leadership strategy by researching AI trends, developing original viewpoints and executive content, managing publication lifecycles, measuring program impact, and partnering with AI, product, marketing, communications, and executive teams. Represents Mastercard at industry events, customer forums, and analyst engagements while translating complex AI topics into compelling business narratives.

Develop scalable, service-oriented web applications across the full software lifecycle. Design maintainable architectures, write clean and testable code, conduct peer reviews, troubleshoot complex issues, optimize performance, and collaborate with cross-functional teams. The role contributes to design, implementation, testing, deployment, and continuous improvement while supporting team members and applying modern engineering practices.

Manages the Business Identity product portfolio from discovery through launch and continuous improvement. Defines technical requirements, including APIs, data, and user experience considerations; owns roadmap priorities; and leads cross-functional execution with engineering, data science, legal, commercialization, and customer teams. Uses market research, customer feedback, analytics, and competitive insights to guide product strategy and deliver secure, differentiated identity solutions. The role also participates in agile planning and may require up to 15% travel.

Leads data engineering for cyber analytics by designing pipelines, ETL processes, storage, graph databases, and data models. Partners with data scientists and technology teams to integrate ML and AI solutions, manage production deployments, and build cohesive analytical datasets. Oversees and develops a team of data engineers, manages priorities, and collaborates with technical and business stakeholders.

Design, launch, and improve Mastercard’s Responsible AI governance framework. The role integrates governance processes with risk-control tools, partners with business, technical, legal, regulatory, and risk teams, evaluates operations data and stakeholder feedback, manages process-improvement roadmaps, communicates framework changes to leadership, and supports audits. The position requires strong stakeholder management, communication, negotiation, analytical, change-management, and organizational skills, along with knowledge of Responsible AI and AI technologies.

Leads product management for identity and token intelligence solutions that prevent fraud in digital payment ecosystems. Responsibilities include identifying customer and fraud use cases, defining product features, prioritizing roadmaps, analyzing product and model performance, coordinating with engineering and data science, and supporting commercialization through marketing and sales enablement.

Leads end-to-end delivery of complex technical programs across cloud, infrastructure, platform, security, and engineering domains. Owns roadmaps, capacity planning, governance, milestones, dependencies, risks, executive reporting, Jira administration, and release readiness. Partners with Engineering, Product, Architecture, Infrastructure, Security, and Operations teams to align priorities and drive delivery. Improves program management processes and serves as the primary contact for strategic initiatives.

Lead a team of cyber threat intelligence analysts researching payment ecosystem threats, cybercrime actors, tactics, techniques, and procedures. Develop actionable intelligence reports, white papers, and strategic insights for technical and business audiences. Manage intelligence deliverables, stakeholder relationships, cross-functional collaboration, competing priorities, and quality standards while informing cybersecurity product decisions.

Supports Mastercard’s global BRAM operations through workflow coordination, case management, reporting, quality assurance, process documentation, merchant monitoring, and stakeholder follow-up. Maintains playbooks, controls, procedures, and training materials; assists with investigations, data validation, dashboards, and AI-enabled monitoring. Identifies data gaps, process trends, and improvement opportunities while supporting governance, escalation routing, testing, and program adoption across Brand Performance initiatives.

Conduct investigations under Mastercard’s BRAM program involving potential illegal activity, brand-damaging conduct, and Standards violations. Review referrals, evidence, customer responses, and case documentation; assess findings and support case closure. Escalate complex matters, manage stakeholder communications, track referrals and metrics, identify trends, and improve case-management processes. The role also supports training, reporting, data integrity, and cross-team initiatives.

Supports strategic consulting projects for major clients across industries. Responsibilities include analyzing data, identifying trends, translating insights into recommendations, creating client presentations, structuring business problems, collaborating in small teams, supporting business development and account management, and building client relationships. Interns may specialize in Business Experimentation or Strategy and Transformation while receiving mentorship, training, networking, and leadership exposure.

Support global product execution for Mastercard Business Intelligence by translating customer needs into requirements and user stories, coordinating with Product, Engineering, UX, and business partners, tracking delivery progress and risks, validating functionality, maintaining documentation, supporting launches, monitoring adoption metrics, and contributing to backlog prioritization and continuous product improvement.

Lead Mastercard’s physical-commerce acceptance strategy and product innovation initiatives. Analyze ecosystem needs, merchant barriers, technologies, and market opportunities; develop best-practice frameworks, playbooks, business cases, pilots, and roadmap recommendations. Engage merchants, partners, acquirers, payment facilitators, gateways, processors, ISVs, and POS platforms to expand acceptance capabilities. Provide strategic guidance, executive presentations, thought leadership, and cross-functional leadership from opportunity assessment through validation and commercialization.

Supports engineering teams delivering cybersecurity and technology initiatives through Agile ceremonies, project tracking, risk and dependency management, documentation, release planning, testing coordination, and stakeholder communication. Assists with requirements, dashboards, sprint commitments, project readiness, and continuous improvement while developing technical program management skills in a global payments environment.

Supports Mastercard’s internal and external communications, including content development, storytelling, media relations, thought leadership, employee engagement, executive communications, events, and social content. The role collaborates across the organization to identify communication opportunities, support reputation-building initiatives, and measure communications impact. It is an 18-month early-career program requiring strong writing, editing, project management, organization, and collaboration skills.

Lead technical direction for complex, early-stage Mastercard products from concept through deployment. Architect scalable applications, data platforms, AI-enabled solutions, integrations, and reusable engineering patterns. Make architecture decisions under uncertainty, develop prototypes, manage technical risks, and influence cross-functional stakeholders. Coach senior engineers, conduct design reviews, establish engineering standards, and advance responsible AI adoption across software delivery and product development.

Supports Mastercard sales, account management, and business development initiatives through customer growth analysis, project coordination, presentations, proposals, forecasting, and cross-functional collaboration. The role develops analytical, communication, relationship-building, and commercial strategy skills through an 18-month Launch Program. Participants initially shadow sales professionals before progressing toward direct customer engagement and account-level sales responsibilities.

Lead Data Scientist analyzing global fraud data to identify patterns, develop predictive models, and prevent payment fraud. The role builds fraud-related products and services, extracts insights from large datasets, collaborates with stakeholders, and presents findings to management and clients. Required skills include Python, Spark, complex data queries, and advanced data analysis. Experience with agentic AI systems and Unix is preferred, along with payments or fraud expertise.

Manages global Mastercard BRAM investigations involving potential illegal activity, brand-damaging conduct, and Standards violations. Oversees referral intake, evidence review, investigation strategy, customer responses, escalations, case quality, documentation, and closure. Provides guidance and prioritization to investigators, manages referral partners and vendors, monitors workloads and metrics, and collaborates with Legal, Regulatory Affairs, Operations, and regional teams to deliver defensible outcomes and improve governance, tools, analytics, and investigative processes.