Global Head of Cloud & Infrastructure

S&P Global•Washington, DC

4d•$220,000 - $350,000

About The Position

The Global Head of Cloud & Infrastructure leads S&P Global’s global Cloud & Infrastructure organization, overseeing cloud platforms, networks, observability, forward deployment engineering, enterprise architecture, and AI foundations across all business divisions. 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 position also leads resilient global network capabilities across cloud interconnect, data centers, campus, and branch locations, including WAN-edge modernization to SASE/SSE and zero-trust architecture for market-data and trading workloads. It industrializes enterprise GenAI foundations, supports AI-ready data platforms, and strengthens trust, safety, and observability for agentic AI. The role drives enterprise modernization and cyber resilience in partnership with the CISO organization, and manages commitments for cost, quality, performance, and availability through portfolio management and architecture alignment with M&A execution. The anticipated base salary range is $220,000 to $350,000. Final base salary depends on geographic location, experience, skill set, training, licenses, and certifications. The role is eligible for an annual incentive plan and additional S&P Global benefits. The posting also states that it is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.

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, with 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 observability solutions such as Prometheus, Grafana, or DataDog at enterprise scale.
Exposure to regulated data infrastructure requirements, including SEC, ESMA, FCA, and DORA compliance frameworks, and ability to navigate complex regulatory environments.
Public speaking experience, board-level presentation skills, and established industry thought-leadership presence.
Prior collaboration with hyperscaler executive teams at Google, AWS, or Microsoft on strategic partnerships.

Responsibilities

Lead S&P Global’s Cloud & Infrastructure organization across global business divisions, including cloud platforms, networks, observability, forward deployment engineering, enterprise architecture, and AI foundations.
Architect and operate a hybrid, multi-cloud estate across Google Cloud, AWS, and Azure, maintaining 24×7 reliability and elastic scale while optimizing cost, performance, and sustainability metrics.
Engineer resilient global networks across cloud interconnect, 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 while strengthening 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 cost, quality, performance, and availability commitments through disciplined portfolio management.
Align architecture with M&A execution to accelerate integration and business value.