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As the Lead Program Security Engineer, you'll ensure security within Mastercard's Data and AI initiatives by implementing secure practices, architecture, and risk management across teams and products.

The Counsel will support Mastercard's Consumer Products & Processing division by providing legal and regulatory guidance, contract negotiation, compliance support, and advice on commercial initiatives in the Asia Pacific region.

The Information Security Operations Analyst will manage identity access queries, automate identity access management processes, and enhance existing systems. The role requires collaboration with business teams to support governance and compliance needs, while researching new methodologies to improve security.

The Finance Business Partner will provide financial leadership to the divisional president, manage financial controls, and ensure compliance while supporting strategic and investment decisions.

Manage and cultivate relationships within the Issuer Processor vertical, driving incremental revenue through strategic partnerships and innovative solutions for clients across the APAC region.

The Senior Software Engineer will develop enterprise applications using Java and front-end technologies like Angular/React, ensuring high-quality code and support for scalable cloud architectures.

The Global Economic Intelligence Director oversees product management for economic intelligence solutions, develops go-to-market strategies, manages cross-functional teams, and drives innovation aligned with market needs and client solutions.

Lead security engineer advising product and operational teams on secure design, standards, and reviews. Take lead on large global initiatives, document and enhance security processes, present technical/business material, and recommend solutions to meet security and regulatory requirements across web-based applications and infrastructure.

Lead architecture, design, and development of a cloud-native experimentation platform. Build scalable microservices, APIs, and data pipelines using Databricks/Spark on AWS/Azure. Drive technical vision, mentor engineers, enforce engineering best practices, and coordinate cross-functional global teams to deliver high-performance, secure, and reliable analytics-driven applications.

Design, build, and deploy enterprise-grade AI solutions using LLMs, RAG, and vector search. Architect scalable cloud-native systems (AWS, Cloudera, Databricks), implement APIs/microservices, monitor model performance, and ensure security and compliance while mentoring engineers.