# Director, Enterprise Cloud Infrastructure & Engineering at Wiley

Wiley is hiring a Director, Enterprise Cloud Infrastructure & Engineering. It pays $145k-$213k a year and Level rates it Works on AI ●●●○; you can [apply on Wiley](https://jobsbylevel.com/go/0488c998-0a90-4d2a-b433-44d763a19c93?utm_medium=ai-agent).

AI Level 3, AI centrality 71 out of 100. Hoboken (HQ), NJ, USA.

## Details

- Company: [Wiley](https://jobsbylevel.com/companies/wiley)
- AI level: AI Level 3 (score 71 out of 100)
- Location: Hoboken (HQ), NJ, USA
- Salary: $145k-$213k
- Posted: November 12, 2026
- Apply: https://jobsbylevel.com/go/0488c998-0a90-4d2a-b433-44d763a19c93?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=director-enterprise-cloud-infrastructure-engineering-at-wiley-7dec7a

## Prepare for this job

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## Description

We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what’s possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what’s next to power infinite possibilities for our customers, colleagues and society at large. About the Role: Wiley is in the midst of a critical technology transformation period, consolidating enterprise technology under unified leadership to accelerate AI adoption, reduce complexity, and deliver seamless digital experiences across the organization. As Senior Leader, Enterprise Infrastructure & Cloud, you will be a cornerstone of that transformation. This role owns the foundational technology layer that everything else runs on: cloud infrastructure, AI Infrastructure, FinOps, DevOps and delivery engineering capabilities. You will work at the intersection of engineering excellence and business impact—modernizing the platforms that underpin Wiley's research, learning, AI DA and enterprise systems while embedding the automation, reliability, and agility that the enterprise needs to move faster. Reporting directly to the VP of Infrastructure Services, you will lead globally distributed teams, manage strategic managed service relationships, and play an active role in the broader Enterprise Technology leadership team as Wiley continues to evolve its operating model. This role incorporates Service Delivery Manager responsibilities related to a managed service agreement — technical ownership, architectural assurance, and domain governance — within the IMS service tower. You will ensure Virtusa's technical delivery aligns with enterprise standards, risk posture, and long-term strategy. What You'll Own: Infrastructure & Cloud Modernization Define and execute a multi-year cloud infrastructure strategy—accelerating migration to cloud-native architectures across AWS, GCP, and Azure while responsibly managing the hybrid data center environment. Establish and govern a cloud landing zone framework , including account/project structure, policy-as-code guardrails, and multi-cloud governance standards that ensure security and compliance at scale. Own FinOps practices across cloud environments—driving unit economics, showback/chargeback models, reserved capacity planning, and continuous cost optimization to deliver measurable TCO reduction. Drive reduction in infrastructure complexity, technical debt, and total cost of ownership through automation, intelligent monitoring, and standardized cloud-native patterns. Establish and maintain infrastructure reliability, availability, and security standards, including SRE principles, SLO/error budget frameworks, and fault-tolerant design to ensure Wiley's research, learning and AI DA products & platforms meet the highest service levels. Own CDN strategy and edge infrastructure to support Wiley's global content delivery needs across research and education platforms. Partner with Enterprise Applications, content platforms and Data Engineering teams to ensure infrastructure modernization directly enables AI/ML, data platform, and agentic workflow initiatives — including GPU compute, model serving infrastructure, and vector database environments that underpin Wiley's AI ambitions. Advance sustainability practices in cloud operations, tracking and optimizing the environmental footprint of Wiley's infrastructure estate. AI & Emerging Technology Infrastructure Own the infrastructure foundations that support Wiley's growing AI ambitions — including GPU/TPU compute environments, model serving infrastructure, vector databases, and embedding pipelines — ensuring these are reliable, cost-governed, and production-grade. Drive LLMOps infrastructure strategy — establishing the environments, pipelines, and tooling required for large language model deployment, fine-tuning, prompt evaluation, and lifecycle

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