Top Tech Jobs & Startup Jobs in Dublin

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.

Own and evolve Mastercard's AI-native data platform and products: define roadmaps, treat data as a product with SLAs and governance, lead cross-functional teams, operationalize agentic AI and HITL workflows, ensure compliance with security/privacy/regulatory teams, and translate regional requirements into scalable data models and datasets.

Own and evolve Mastercard's Data & AI platform and products: define roadmaps, treat data as a product, lead cross-functional teams, ensure governance and compliance, operationalize agentic AI and HITL workflows, translate regional requirements, and deliver scalable, high-quality data products.

Build and lead a Support and Retention Experience function to monitor customer health, establish post-production support, automate playbooks, align cross-functional data, surface expansion opportunities, and provide leadership visibility to improve retention and platform adoption.

Own and evolve an AI-native data platform and applications: define roadmap and backlog, treat data as a product with SLAs and governance, lead cross-functional teams to build reusable data primitives, ontologies and datasets, operationalize agentic AI and HITL workflows, ensure compliance with security/privacy/regulatory requirements, and translate regional customer needs into scalable solutions.

Build and lead a Support & Retention Experience function to monitor customer health, establish post-production support and SLAs, automate playbooks, align cross-functional data, surface expansion opportunities, and drive retention and platform adoption.

Build and lead a new Support & Retention Experience function to monitor customer health, establish post-production support (SLAs, escalations, tooling), automate playbooks, align cross-functional data and integrations, surface expansion opportunities, and provide senior leadership visibility to drive retention and platform adoption.

Own post-enablement customer experience for live production customers: monitor API performance and usage, define health scores and alerting, operate playbooks, coordinate SRE/engineering/product responses, surface diagnostics in-platform, identify expansion opportunities, and report adoption and retention metrics to leadership.

Own the post-enablement experience for live production customers: monitor API performance and health, define health scores and proactive alerts, build playbooks, coordinate incident resolution across SRE/engineering/product, surface in-platform guidance, identify expansion opportunities, review integrations for improvements, and report data-driven retention and adoption metrics to leadership.

Own and evolve an AI-native data platform and products: define roadmap, treat data as product with SLAs and governance, lead cross-functional teams to build reusable data primitives, ontologies, APIs and workflows, operationalize agentic AI/HITL processes, ensure compliance and stakeholder alignment, and drive product strategy and delivery.