Vice President of Software Engineering & Data Governance

Location: State Farm
Posted on: June 23, 2025

Job Description:

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, distributed data systems). • Experience in AI-driven data governance automation, including machine learning applications for data classification and quality monitoring. • Excellent leadership and stakeholder management skills, with the ability to influence technical and non-technical audiences across business units. • Experience leading teams to build solutions optimized for scalability, resiliency, and performance. • Expertise in SaaS enterprise tools, including configuration, standardization, and lifecycle management. • Strong communicator with the ability to align stakeholders across technical and business domains, presenting information effectively to all levels of the organization. • Ability to balance long-term strategy with near-term execution, ensuring alignment with organizational goals. • Advanced knowledge of software engineering concepts, methodologies, and the software development lifecycle (SDLC). • Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or a related field. Equivalent practical experience will also be considered.

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