MasterCard
Job Title:
Vice President of Data Architecture
Overview:
Overview:
Mastercard's Data & Analytics organization is undergoing a bold transformation to modernize our global data ecosystem-unlocking value through secure, scalable, and compliant data capabilities. As we build the next generation of data platforms, we are seeking a visionary and results-oriented Vice President of Data Architecture to lead the transformation of Mastercard's enterprise data landscape.
This is a foundational leadership role responsible for defining how data is collected, organized, governed, and distributed across Mastercard's global infrastructure. Reporting to the EVP of Data & Analytics, this leader will shape architectural frameworks and standards that drive product innovation, operational excellence, and regulatory compliance across a hybrid cloud environment.
Role:
Data Architecture Strategy & Execution
• Lead the design and execution of Mastercard's enterprise data architecture strategy across a complex, global ecosystem.
• Drive modernization from legacy and on-prem systems to modern, cloud-native and hybrid data platforms.
• Architect scalable and secure data solutions that meet evolving regulatory requirements (e.g., ISO 20022, data localization, GDPR).
• Create reusable, domain-oriented data models that promote consistency, interoperability, and self-service across business units.
• Define and implement architectural patterns supporting both real-time and batch data processing across relational and non-relational systems.
• Lead adoption of modern data principles including Data Mesh, data products, and federated governance.
Governance, Alignment & Agile Integration
• Chair the Data & Analytics Architecture Review Board to ensure alignment across programs and domains.
• Collaborate with Mastercard's Architecture, Security, and Engineering organizations to embed data architecture into enterprise-wide standards.
• Apply Agile methodologies and practices to data architecture initiatives, enabling iterative delivery, rapid feedback, and cross-functional collaboration.
• Represent the Data & Analytics function in enterprise architecture councils, steering committees, and executive planning forums.
Cross-Functional Leadership & People Development
• Lead and scale a high-performing team of data architects and technical experts with deep experience in distributed systems, cloud platforms, and data modeling.
• Mentor and develop talent across various levels while fostering a culture of architectural excellence, innovation, and continuous improvement.
• Act as a trusted advisor to senior business, product, and engineering leaders-bridging technical strategy with enterprise priorities.
• Build relationships and communicate effectively with internal and external stakeholders, including C-suite executives, to influence data-driven strategies and decision-making.
All About You:
• Prior leadership experience in Director or Vice President roles overseeing enterprise data architecture, data engineering, or data platform strategy.
• Deep expertise in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop.
• Hands-on proficiency with modern data platforms and tools including Databricks, Snowflake, Delta Lake, and Redshift.
• Proven experience designing and operating real-time and batch data pipelines in hybrid and cloud-native environments (AWS, Azure, GCP).
• Understanding of Data Mesh principles, federated governance, and data product lifecycle management.
• Demonstrated experience working in Agile environments, leveraging modern delivery practices like scrum, SAFe, or product-centric models.
• Proven success leading large-scale data transformations and platform modernization initiatives in highly regulated industries such as Payments, Fintech, or Banking.
• Deep understanding of card data flows, merchant ecosystems, and frameworks including ISO 20022 and data localization mandates.
• Proven track record of driving organizational change, platform migrations, and enterprise-wide architecture adoption.
• Strong executive presence and the ability to translate complex architecture concepts into business language for senior leadership.
• Experience leading global, cross-functional teams, and managing high-performing technical talent.
• Demonstrated ability to influence at all levels of the organization, including C-level stakeholders, with excellent communication and relationship-building skills.
• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field required.
#LI-NF1
To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.
Vice President of Data Architecture
Overview:
Overview:
Mastercard's Data & Analytics organization is undergoing a bold transformation to modernize our global data ecosystem-unlocking value through secure, scalable, and compliant data capabilities. As we build the next generation of data platforms, we are seeking a visionary and results-oriented Vice President of Data Architecture to lead the transformation of Mastercard's enterprise data landscape.
This is a foundational leadership role responsible for defining how data is collected, organized, governed, and distributed across Mastercard's global infrastructure. Reporting to the EVP of Data & Analytics, this leader will shape architectural frameworks and standards that drive product innovation, operational excellence, and regulatory compliance across a hybrid cloud environment.
Role:
Data Architecture Strategy & Execution
• Lead the design and execution of Mastercard's enterprise data architecture strategy across a complex, global ecosystem.
• Drive modernization from legacy and on-prem systems to modern, cloud-native and hybrid data platforms.
• Architect scalable and secure data solutions that meet evolving regulatory requirements (e.g., ISO 20022, data localization, GDPR).
• Create reusable, domain-oriented data models that promote consistency, interoperability, and self-service across business units.
• Define and implement architectural patterns supporting both real-time and batch data processing across relational and non-relational systems.
• Lead adoption of modern data principles including Data Mesh, data products, and federated governance.
Governance, Alignment & Agile Integration
• Chair the Data & Analytics Architecture Review Board to ensure alignment across programs and domains.
• Collaborate with Mastercard's Architecture, Security, and Engineering organizations to embed data architecture into enterprise-wide standards.
• Apply Agile methodologies and practices to data architecture initiatives, enabling iterative delivery, rapid feedback, and cross-functional collaboration.
• Represent the Data & Analytics function in enterprise architecture councils, steering committees, and executive planning forums.
Cross-Functional Leadership & People Development
• Lead and scale a high-performing team of data architects and technical experts with deep experience in distributed systems, cloud platforms, and data modeling.
• Mentor and develop talent across various levels while fostering a culture of architectural excellence, innovation, and continuous improvement.
• Act as a trusted advisor to senior business, product, and engineering leaders-bridging technical strategy with enterprise priorities.
• Build relationships and communicate effectively with internal and external stakeholders, including C-suite executives, to influence data-driven strategies and decision-making.
All About You:
• Prior leadership experience in Director or Vice President roles overseeing enterprise data architecture, data engineering, or data platform strategy.
• Deep expertise in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop.
• Hands-on proficiency with modern data platforms and tools including Databricks, Snowflake, Delta Lake, and Redshift.
• Proven experience designing and operating real-time and batch data pipelines in hybrid and cloud-native environments (AWS, Azure, GCP).
• Understanding of Data Mesh principles, federated governance, and data product lifecycle management.
• Demonstrated experience working in Agile environments, leveraging modern delivery practices like scrum, SAFe, or product-centric models.
• Proven success leading large-scale data transformations and platform modernization initiatives in highly regulated industries such as Payments, Fintech, or Banking.
• Deep understanding of card data flows, merchant ecosystems, and frameworks including ISO 20022 and data localization mandates.
• Proven track record of driving organizational change, platform migrations, and enterprise-wide architecture adoption.
• Strong executive presence and the ability to translate complex architecture concepts into business language for senior leadership.
• Experience leading global, cross-functional teams, and managing high-performing technical talent.
• Demonstrated ability to influence at all levels of the organization, including C-level stakeholders, with excellent communication and relationship-building skills.
• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field required.
#LI-NF1
To find US Salary Ranges, visit People Place. Under the Compensation tab, select "Salary Structures." Within the text of "Salary Structures," click on the link "salary structures 2025," through which you will be able to access the salary ranges for each Mastercard job family. For more information regarding US benefits, visit People Place and review the Benefits tab and the Time Off & Leave tab.