Top Tech Jobs & Startup Jobs in Dublin

Lead product strategy, roadmap, and delivery for transaction data, consent, authentication, and API-driven data platforms. Partner with engineering, privacy, legal, and commercial teams to build scalable real-time products, validate customer needs, drive discovery and prioritization, and use AI-enabled tools and metrics to improve product performance and outcomes.

Lead product strategy and execution for transaction data, consent, authentication, and AI-enabled data services. Define roadmaps, drive API-driven platform delivery, validate customer needs, collaborate with engineering, privacy, security, and legal, and use data and AI tools to measure and improve product outcomes.

Lead product strategy, roadmap, and delivery for transaction data, consent, authentication, and AI-enabled data platforms. Collaborate with engineering, privacy, legal, and commercial teams to build scalable API-driven products, validate customer needs, and measure outcomes. Drive discovery, prioritization, and compliant product development while leveraging AI tools to accelerate execution and improve decision-making.

Lead Site Reliability/DevOps engineer responsible for designing, building, and scaling AWS cloud infrastructure, implementing IaC and CI/CD, managing Kubernetes/EKS, improving availability and monitoring (Prometheus), mentoring team members, troubleshooting production issues, and developing automation and tooling in Go/Python/Rust/Bash.

Lead strategy and delivery of the data platform powering analytics and agentic AI across CNPF. Architect lakehouse, streaming, retrieval, vector/feature stores and MCP servers; ensure governance, observability, and PII-safe AI data pipelines; partner with Applied AI, Product, and Security; guide and grow senior data engineering team.

Lead strategy, architecture, and delivery of a production-grade data platform enabling agentic AI and analytics. Own lakehouse, streaming, retrieval, vector/feature stores, MCP servers, governance, and real-time pipelines; partner with Applied AI and Product; guide senior engineers and set standards for AI-ready data products.

Lead strategy, architecture, and delivery of Mastercard's data platform for analytics and agentic AI. Design lakehouse, streaming, retrieval, vector/feature stores, and MCP servers. Ensure governance, lineage, observability, and AI-specific controls. Partner with Applied AI, Product, and Security; guide and grow a senior data engineering team while remaining hands-on to unblock technical challenges.

Lead strategy and delivery of the data platform powering analytics and agentic AI across business verticals. Architect lakehouse, streaming, retrieval, vector stores, feature stores, and knowledge graphs. Ensure governance, lineage, data quality, observability, and AI-specific controls. Partner with Applied AI, Product, and Architecture, set standards for data products, and guide a team of senior data engineers while staying hands-on to unblock technical challenges.

Lead strategy, architecture, and delivery of CNPF data platform to power analytics and agentic AI. Design lakehouse, streaming, retrieval, vector/feature stores, MCP servers, and knowledge graphs. Ensure governance, lineage, data quality, observability, and secure AI consumption. Partner with Applied AI and Product, guide senior engineers, and remain hands-on to unblock architecture and production issues.

Lead strategy, architecture, and delivery of a production-scale data platform enabling agentic AI and analytics. Design lakehouse, streaming, retrieval, vector/feature stores, MCP servers, and governance to ensure real-time, secure, and auditable data for LLMs and analytics. Guide senior engineers and partner with AI, product, and security teams.