Global Head of Cloud & Infrastructure

S&P Global•Washington, DC

About The Position

The Global Head of Cloud & Infrastructure leads S&P Global’s Cloud & Infrastructure organization across its global business divisions. The organization oversees cloud platforms, networks, observability, forward deployment engineering, enterprise architecture, and AI foundations. The role is responsible for architecting and operating a hybrid, multi-cloud estate across Google Cloud, AWS, and Azure, with a focus on 24×7 reliability, elastic scale, and optimized cost, performance, and sustainability metrics. The role also leads resilient global network engineering across cloud interconnects, data centers, campus and branch locations, modernizing WAN edge to SASE/SSE and embedding zero-trust architecture for market-data and trading workloads. It industrializes foundational GenAI capabilities and AI-ready data platform foundations, while strengthening trust, safety, and observability for agentic AI at scale. The position drives enterprise modernization through risk-based vulnerability management, secure software supply chain practices, and cyber-resilience partnerships with the CISO organization. It is accountable for enterprise-wide cost, quality, performance, and availability commitments through disciplined portfolio management, and aligns architecture with M&A execution to accelerate integration and business value.

Requirements

15+ years of technology leadership experience, including at least 5 years leading global cloud and infrastructure organizations of comparable scale and complexity.
Proven track record delivering enterprise cloud transformation and platform modernization at scale across hybrid, multi-cloud environments.
Experience with orchestration platforms such as Kubernetes, Docker Swarm, or OpenShift, and infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormation.
Demonstrated experience leading global enterprise network organizations across cloud, data center, campus, and edge environments, including SASE/SSE modernization and zero-trust network access implementation.
Deep operating experience in highly regulated industries such as financial services, capital markets, ratings, or data analytics, with regulatory compliance expertise.
Executive-level fluency working with regulators, external auditors, and enterprise risk functions.
Accountability for large-scale technology budgets and vendor portfolio management.
Bachelor’s degree from an accredited institution.

Nice To Haves

Advanced degree (MS, MBA, or equivalent) is strongly preferred.
Experience integrating technology capabilities post-M&A to accelerate value realization and optimize technology investments across diverse organizational structures.
Hands-on familiarity with platform engineering, CI/CD platforms such as Jenkins, GitLab CI, or Azure DevOps, and enterprise-scale observability solutions such as Prometheus, Grafana, or DataDog.
Exposure to regulated data infrastructure requirements, including SEC, ESMA, FCA, and DORA compliance frameworks, and demonstrated ability to navigate complex regulatory environments.
Public speaking experience, board-level presentation skills, and an established industry thought-leadership presence.
Prior collaboration experience with hyperscaler executive teams at Google, AWS, or Microsoft on strategic partnerships.

Responsibilities

Lead S&P Global’s Cloud & Infrastructure organization, overseeing cloud platforms, networks, observability, forward deployment engineering, enterprise architecture, and AI foundations across global business divisions.
Architect and operate the hybrid, multi-cloud estate across Google Cloud, AWS, and Azure, targeting 24×7 reliability, elastic scale, and optimized cost, performance, and sustainability metrics.
Engineer resilient global networks across cloud interconnects, data centers, campus and branch locations.
Modernize WAN edge to SASE/SSE and embed zero-trust architecture for market-data and trading workloads.
Industrialize foundational GenAI capabilities enterprise-wide and build scalable AI-ready data platform foundations.
Strengthen trust, safety, and observability for agentic AI at scale.
Drive enterprise modernization through risk-based vulnerability management, secure software supply chain practices, and cyber-resilience partnerships with the CISO organization.
Deliver enterprise-wide commitments for cost, quality, performance, and availability through disciplined portfolio management.
Align architecture with M&A execution to accelerate integration and business value.