Vice President of Software Engineering & Data Governance

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Vice President of Software Engineering & Data Governance

Overview:
Mastercard’s Data Governance & Regulation (DG&R) team is seeking a Vice President of Software Engineering & Data Governance to lead the design, development, and implementation of scalable data governance solutions that ensure Mastercard’s data assets are secure, compliant, and accessible for strategic decision-making.
This leader will drive the engineering strategy for Mastercard’s enterprise Data Cataloging & Governance platform, ensuring strong metadata management, data lineage tracking, access controls, and compliance with global regulations (e.g., GDPR, CCPA, BCBS 239). The role requires a deep understanding of both data governance principles and modern software engineering practices, enabling the seamless integration of governance policies into Mastercard’s data architecture.
The ideal candidate is a visionary leader with a track record of delivering large-scale data governance solutions, managing distributed engineering teams, and collaborating with business and regulatory stakeholders to implement best-in-class governance frameworks.

Role:
• Drive the vision, strategy, and execution for developing and implementing Mastercard’s modern and scalable Data Cataloging & Governance platform, critical for enterprise-wide data discovery and governance initiatives.
• Provide leadership and strategic direction to multiple engineering teams, guiding the analysis, design, development, and delivery of solutions that align with Mastercard’s global data governance objectives.
• Collaborate with business owners, product managers, and other technology teams to define roadmaps, set priorities, and execute strategies effectively.
• Successfully manage large-scale, complex projects with broad organizational impact and long-term business implications.
• Drive the adoption of best practices in engineering design, architecture, and development, ensuring all solutions are scalable, resilient, and high-performing.
• Lead quality inspections, architecture reviews, design reviews, code reviews, and security reviews to ensure compliance with Mastercard’s standards.
• Evaluate and manage technology relationships with vendors, integrators, and third-party service providers to deliver high-quality solutions.
• Drive engineering excellence in metadata management, data lineage tracking, policy enforcement, and access control mechanisms.
• Define the strategic vision for data governance automation, integrating AI/ML-driven solutions for improved data quality, classification, and regulatory compliance.
• Oversee the engineering and deployment of APIs and tools that enable seamless governance integration with data lakes, cloud platforms, and analytics ecosystems.
• Ensure compliance with global data protection regulations, working closely with legal, compliance, and risk teams to uphold Mastercard’s data integrity and security policies.
• Partner with data governance, security, and business teams to align engineering initiatives with Mastercard’s broader data strategy.
• Lead and mentor multiple engineering teams across geographies, fostering a culture of innovation, collaboration, and technical excellence.
• Stay ahead of industry trends in data governance and engineering, identifying emerging technologies and best practices to enhance Mastercard’s governance capabilities.

All About You:
• Proven track record in senior leadership roles (e.g., Director, Vice President) managing medium-to-large engineering teams to deliver enterprise-scale technology solutions.
• Hands-on experience in software engineering, development, and architecture, with a deep understanding of modern enterprise technologies and a strong focus on data governance, metadata management, and regulatory compliance.
• Deep expertise in data governance tools and frameworks (e.g., Collibra, Alation, Informatica, Apache Atlas) and their integration into enterprise data ecosystems.
• Proven ability to architect and implement scalable governance solutions that ensure data security, integrity, and accessibility.
• Strong knowledge of cloud-based data governance strategies (AWS, GCP, Azure) and modern data architectures (data lakes, data meshes, distribut