Top Tech Jobs & Startup Jobs in Dublin

Leads complex, cross-functional technical programs across engineering teams, regions, vendors, and organizational stakeholders. Establishes program governance, delivery processes, operating rhythms, and scalable team onboarding models. Manages escalations, risks, dependencies, reporting, and stakeholder communication while driving accountability and predictable delivery. Operates independently in ambiguous, fast-evolving environments and supports strategic execution for a global data, analytics, and technology organization.

Develop and deploy production machine learning solutions for forecasting, recommendations, propensity modeling, fraud detection, risk modeling, and customer analytics. Define experiments, evaluation frameworks, and success metrics; apply embeddings and foundation-model techniques; and measure business impact. Partner with product, engineering, analytics, and business teams from problem definition through deployment. Communicate insights to technical and non-technical stakeholders, establish modeling best practices, and mentor junior data scientists.

Leads complex, cross-functional technical programs across engineering teams, regions, vendors, and organizational boundaries. Establishes program governance, delivery processes, operating rhythms, and scalable team practices. Manages risks, escalations, stakeholder alignment, reporting, and execution visibility while communicating with senior leadership. Supports engineering organization growth, builds consensus, drives accountability, and delivers strategic technology outcomes in ambiguous environments.

Leads the design and modernization of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI. Architects Databricks, Spark, Delta Lake, and cloud-based solutions; establishes governance, quality, lineage, observability, and security controls; optimizes large-scale processing; and guides technical strategy. Partners across risk, product, architecture, and engineering, mentors teams, influences stakeholders, supports compliance, and drives delivery across complex initiatives.

Leads global technology operations and resiliency strategy, including incident management, change governance, operational risk and controls, security remediation, third-party risk, SRE governance, automation, and executive reporting. The role drives platform stability, reliability, recovery readiness, compliance, and continuous operational improvement across engineering and operational teams.

Leads the design and delivery of enterprise data platforms and pipelines supporting credit risk, decisioning, analytics, regulatory reporting, and AI initiatives. Architects cloud-based lakehouse solutions using Databricks, Spark, Delta Lake, and modern ETL/ELT patterns. Establishes data quality, governance, lineage, observability, security, and compliance capabilities; modernizes legacy platforms; optimizes large-scale workloads; and drives engineering standards. Partners cross-functionally, influences architecture and roadmaps, mentors engineers, resolves complex dependencies, and supports technical hiring.

Leads global technology operations and resiliency across Cross Border Services Engineering. Owns operational governance, incident and change management, risk and controls oversight, security remediation, third-party risk, SRE governance, automation, standardization, and executive reporting. Drives platform stability, reliability, recovery readiness, and continuous improvement across engineering and operational processes.

Leads global technology operations and resiliency strategy across Cross Border Services Engineering. Owns incident and change governance, operational risk and controls, vulnerability and audit remediation, third-party risk, SRE governance, executive reporting, and automation initiatives to improve platform stability, reliability, recovery readiness, and operational discipline.

Leads the design and implementation of enterprise data platforms, ETL/ELT pipelines, lakehouse architectures, and distributed processing systems supporting credit risk and analytics. Establishes data quality, governance, lineage, security, monitoring, and operational standards while modernizing legacy assets in the cloud. Partners with product, risk, architecture, and data science teams, mentors engineers, influences technical strategy, optimizes performance and cost, supports compliance, and drives complex cross-functional initiatives.

Leads the design and implementation of enterprise data platforms and pipelines supporting credit risk, decisioning, regulatory reporting, analytics, and AI initiatives. Architects Databricks, Spark, Delta Lake, and cloud-based solutions; establishes data quality, governance, lineage, security, monitoring, and operational standards; modernizes legacy systems; optimizes large-scale processing; influences technical strategy; mentors engineers; and partners with cross-functional stakeholders to deliver resilient, compliant data products.