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Leads AI security engineering initiatives across architecture, vulnerability assessment, red teaming, secure AI development, governance, threat research, and control implementation. Advises engineering, data science, product, and security teams on AI risks, adversarial techniques, model security, cloud security, and compliance. Develops technical guidance, playbooks, assessments, and remediation plans while mentoring engineers and leading proof-of-concept evaluations for emerging AI security technologies.

Develop and advance Mastercard’s global AI policy positions, narratives, and advocacy strategies. Advise internal executives, business units, government affairs teams, regulators, and standards bodies on AI legislation, regulation, governance, standards, and emerging risks. Translate AI business objectives into policy frameworks, produce policy briefs and executive materials, support consultations and thought leadership, and promote consistent, innovation-enabling AI policies across global markets.

Serve as a strategic partner to senior leadership, translating priorities into executable plans, driving cross-functional alignment and disciplined delivery, owning operating rhythms and governance, producing executive-ready materials, and leading strategic communications. Act as an operational quarterback to ensure clarity, accountability, and momentum across major modernization and transformation initiatives.

Serve as a strategic partner to senior leadership, driving execution, governance, and cross-functional alignment. Translate strategy into clear plans, own operating rhythm, produce executive-ready materials, lead strategic communications, and enforce tracking to ensure disciplined delivery across major modernization and transformation initiatives.

Lead end-to-end client implementations for Mastercard US Product Delivery, managing project planning, cross-functional teams, customer relationships, risk and escalation, and go-to-market readiness. Drive process improvements and leverage AI/automation to optimize delivery and customer outcomes across complex payments programs.

Design, develop, and support scalable, high-performance Java applications for fraud prevention. Participate in Agile processes, design/code/security reviews, troubleshoot production issues, optimize performance and reliability, and collaborate globally to deliver maintainable solutions.

Lead and coordinate large-scale, cloud-native technical programs for a payments microservices platform. Coach Agile/SAFe practices, plan sprints, remove impediments, align cross-functional teams, influence stakeholders, and drive delivery with a focus on performance, security, reliability, and continuous improvement.

Lead end-to-end client implementations for Mastercard U.S. products, managing cross-functional teams, customer relationships, delivery planning, risk and escalation management, and continuous improvement while leveraging AI and automation to optimize processes and outcomes.

Lead product operations and development for Mastercard's global authentication network. Drive data product operations, KPI frameworks, monitoring, and reporting; ensure data quality, governance, regulatory compliance, and cross-functional alignment. Analyze complex authentication issues, translate customer needs into reporting capabilities, and influence stakeholders to improve product performance and operational efficiency.

The Lead Site Reliability Engineer will ensure reliability, scalability, and performance of Mastercard's applications, enhancing operational practices and developer collaboration in a proactive environment.