Senior Vice President, Global Head of Data Platforms & Engineering (Cloud/AI)

TL;DR

Senior Vice President, Global Head of Data Platforms & Engineering (Cloud/AI): Owning the end-to-end strategy, delivery, and operation of enterprise data platforms, spanning ingestion, storage, processing, governance, and activation. Focus on defining multi-year platform roadmaps, establishing world-class engineering and SRE practices, and leading geographically distributed teams for secure, resilient, cost-efficient data platforms across public clouds.

Location: Hybrid in Dublin, Ireland

Company

hirify.global is a global leader in business decisioning data and analytics, helping companies worldwide grow, manage risk, and innovate for over 180 years.

What you will do

• Define multi-year strategy and architecture for enterprise data platforms (e.g., batch/streaming ingestion, orchestration, data governance, metadata, observability, ML feature stores).
• Set standards for APIs, schemas, contracts, and data product/platform interoperability, enabling self-serve capabilities.
• Institutionalize modern engineering practices to deliver highly available, resilient, observable platforms.
• Lead incident, change, release, and problem management processes for data platforms across cloud environments (e.g., GCP, AWS).
• Prioritize and deliver platform capabilities that accelerate product and analytics teams (e.g., real-time data, governed sharing, AI/ML enablement).
• Build, lead, and develop a diverse, world-class global team, fostering a culture of delivery, learning, motivation and engineering craftsmanship.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 15+ years in software/data engineering with 12+ years leading platform or data engineering organizations at scale.
• Proven success operating mission-critical, cloud-native data platforms and services.
• Demonstrated experience across GCP/AWS/Azure, large scale data processing (batch & streaming), data modeling, governance, security, and observability.
• Track record leading SRE/production operations for data platforms.
• Hands-on depth in Distributed processing storage (Big Query / Snowflake / Databricks), orchestration, lineage, ML platforms.
• Strong command of modern DevOps automation, and cloud security practices.
• Excellence in Executive communication, stakeholder management, vendor negotiation and demonstrated FinOps leadership.
• Fluency in English required.

Nice to have

• Master’s Degree preferred.
• Cloud certifications (GCP, AWS, or Azure) are highly preferred.

Culture & Benefits

• 25 days annual leave (plus 2 paid volunteer days & 1 paid un-sick day).
• Flexible working - hybrid model.
• Employee Health Insurance & Mental Health Support program.
• Pension Contribution & Life Assurance.
• Educational Assistance Program.
• Life-Style Account (up to €40/month matched contributions for health, leisure, or lifestyle activities).
• Diverse, global team that values creativity, collaboration, and bold ideas.