Director of Infrastructure - Local to Pittsburgh, Dallas, Denver, or Cleveland

CGI•Pittsburgh, PA

4d•Onsite

About The Position

We are seeking a Director of Infrastructure to lead data center strategy, cloud/hosting modernization, and provisioning automation as part of a major enterprise technology transformation. This is an on-site role located at one of the locations referenced above. This role sits at the intersection of physical infrastructure, cloud enablement, and IT risk/control automation owning the resiliency, scalability, and regulatory readiness of our hosting environment while driving the shift from legacy, manual infrastructure processes to a zero touch, automated model. A core part of this role is building the infrastructure foundation for AI adoption from GPU/accelerator capacity and data platform readiness to AI driven operations and governance and partnering with AI/ML, Data, and Risk teams to make sure infrastructure keeps pace with the organization's broader AI transformation. The ideal candidate has led large scale data center and hosting transformations in a regulated (financial services or similarly compliance heavy) environment, has direct exposure to standing up AI/ML infrastructure, and is comfortable operating within a formal program governance model, reporting to executive leadership and coordinating across multiple work streams.

Requirements

10+ years of experience in infrastructure, data center, or platform engineering, including 4+ years in a leadership role.
Demonstrated experience leading data center strategy regional expansion, high availability/resiliency architecture, and migration planning.
Strong background in hosting and cloud strategy (public cloud plus on prem/data center), containerization, and infrastructure as code.
Experience modernizing provisioning/path to production processes, including automation of manual, high volume infrastructure requests.
Experience operating in a regulated industry (financial services, healthcare, or similar) with exposure to technology risk/control frameworks and regulatory exam processes.
Track record managing third party/vendor relationships, contracts, and due diligence for infrastructure or hosting services.
Experience operating within a formal transformation or PMO/governance structure, with executive level reporting.
Experience planning or scaling infrastructure to support AI/ML workloads (compute capacity, data platform readiness, or MLOps tooling), or leading infrastructure's role in an enterprise AI adoption effort.
Excellent communication skills, including presenting to executive leadership and external partners/vendors.
Bachelor's degree in computer science, Engineering, or related field (or equivalent experience).

Responsibilities

Own the multi region data center strategy, including capacity planning, geographic diversification, and expansion (new builds, leases, and buildouts) to support growth and regulatory resiliency requirements.
Design and implement high availability architecture with metro synchronous replication, geographic/asynchronous failover, and multi fault zone coverage to eliminate single points of failure.
Lead facility and platform migration planning (migration factories, facility disposition) as new data centers come online.
Manage long lead time (core infrastructure) and short lead time (hosting/compute) procurement planning in coordination with sourcing and vendor teams.
Define and execute hosting strategy across data center and cloud, including standing up or maturing a Cloud Center of Enablement (CCoE) and cloud governance framework.
Own infrastructure design patterns and low-level designs to ensure adaptable, scalable, and secure hosting solutions.
Drive container modernization and platform strategy (CaaS, service mesh) to improve portability and reduce legacy platform dependency.
Lead infrastructure repave/provisioning modernization migrating from legacy, manual provisioning to automated, near zero touch pipelines (including third party provisioning/storefront tooling).
Partner with software delivery, release engineering, and DevOps teams to integrate infrastructure automation into a single, traceable path to production toolchain.
Reduce manual request volume and capacity overallocation through automation of infrastructure deployment, configuration, and drift control.
Improve developer/platform team experience through self-service infrastructure and standardized automation onboarding.
Own the infrastructure roadmap for AI/ML workloads GPU/accelerator capacity planning, high-performance networking and storage, and data center power/cooling requirements to support AI at scale.
Partner with Data, AI/ML Engineering, and Platform teams to build and scale infrastructure for model training, fine tuning, and inference (on prem, cloud, and hybrid).
Evaluate and integrate AI driven infrastructure operations tooling predictive capacity planning, anomaly detection, self-healing automation/runbooks, and intelligent monitoring/drift control to reduce manual toil across the provisioning and path to production pipeline.
Support enterprise GenAI initiatives (e.g., internal knowledge search/assistants, automation copilots) by ensuring the underlying infrastructure, data pipelines, and access controls are secure, compliant, and scalable.
Work with Risk and Compliance to extend IT risk/control frameworks to cover AI specific risks (model governance, data lineage, access to sensitive training data, third party AI vendor risk).
Stay current on AI infrastructure trends and vendor landscape (compute, orchestration, MLOps tooling) and advise executive leadership on build vs. buy and platform strategy decisions.
Partner with Risk, Compliance, and Internal Audit to map infrastructure controls to regulatory/control frameworks, close identified gaps, and increase the ratio of automated to manual controls.
Support regulatory exam preparation and response (e.g., resilience, technology risk) with accurate infrastructure narratives and evidence.
Own third party/vendor risk management for infrastructure and hosting suppliers, including due diligence, contract structuring, and ongoing performance/SLA management.
Establish metrics, dashboards, and governance cadence (aligned to a program/portfolio "control tower" model) to report infrastructure transformation progress to executive leadership.
Hire, mentor, and manage infrastructure, platform, and provisioning engineering teams.
Operate within a formal transformation program structure engaging with program/portfolio management, financial/contract management, and organizational change management functions.
Manage budget, vendor contracts, and cost/capacity tradeoffs for infrastructure investments.
Represent infrastructure work streams in executive and vendor/partner forums, including presenting roadmap, risk, and outcomes.