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Tier-1 brand and metro location increase applicant density, balanced by senior platform specialization.
Role demands specialized data platform and AI integration expertise, limiting cross-industry transferability.
Requires proven data platform engineering leadership and operational excellence, enforcing moderately strict hiring filters.
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Lead and develop one or more software engineering teams building scalable data pipelines, platform services, and AI systems within Mastercard’s Business & Market Insights organization.
Own end-to-end delivery of complex, cross-team initiatives involving data and AI platforms ensuring architecture aligns with enterprise standards on scalability, security, and reliability.
Establish engineering standards and operational excellence practices including incident management, CI/CD adoption, and data governance across platforms.
Bachelor’s degree in Computer Science, Engineering, Data Engineering, or equivalent.
Proven experience leading software engineering teams delivering data platforms, pipelines, or AI-enabled systems.
Strong expertise in distributed systems and backend engineering using languages like Java or Python; plus deep knowledge of data engineering concepts such as ETL/ELT, data modeling, and large-scale data processing.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced engineering leader comfortable managing multiple teams and driving cross-functional delivery of complex data and AI platform projects.
Demonstrates technical leadership by making architecture decisions and balancing delivery with long-term platform strategy and technical debt management.
Skilled in operational excellence including monitoring, reliability, incident response, and fostering adoption of automated and secure engineering practices.