Director, Enterprise Cloud Infrastructure & Engineering

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 management at enterprise scale.  

• Own inference optimization infrastructure — managing latency, throughput, and cost of model serving through auto-scaling inference endpoints, model quantization, and intelligent batching strategies.  

• Establish AI FinOps practices for GPU/TPU compute — implementing capacity planning, cost governance, and multi-tenant compute environments that allow teams to share AI infrastructure safely and efficiently.  

• Build infrastructure support for agentic workflow orchestration — including runtime environments for agent loops, tool-calling APIs, and memory/state management infrastructure aligned to Wiley's agentic AI roadmap.  

• Ensure AI/ML infrastructure operates to the same SLO and reliability standards as production application infrastructure — including audit logging, model versioning, and inference monitoring to support responsible AI practices.  

• Partner with Data Engineering and AI teams to ensure high-throughput data pipelines, feature store infrastructure, and data lakehouse patterns are optimized for AI/ML workload demands.  

DevOps & Observability

• Drive Infrastructure as Code (IaC) maturity across the organization using tools such as Terraform or Pulumi — ensuring infrastructure provisioning is version-controlled, repeatable, and auditable.  

• Evolve infrastructure observability capabilities beyond monitoring — establishing full-stack visibility through logs, metrics, and distributed tracing (e.g., OpenTelemetry) to enable proactive incident response and system reliability.  

• Establish DORA metrics and engineering health indicators as the standard for measuring delivery performance and driving continuous improvement across infrastructure and deployment pipelines.  

• Drive automation-first approaches across infrastructure provisioning, monitoring, and incident response — reducing toil and improving mean time to recovery.  

• Collaborate closely with the Developer Productivity & Effectiveness team to ensure infrastructure capabilities, environments, and deployment tooling are seamlessly consumable by engineering teams.  

Security Partnership

• Partner closely with the Senior Director, Information Security — a peer within the Enterprise Technology leadership team — to ensure infrastructure, cloud, and workplace technology platforms are designed and operated in alignment with Wiley's security standards, compliance requirements, and risk management frameworks.  

• Champion Zero Trust Network Architecture (ZTNA) principles across cloud and on-premises infrastructure, ensuring identity-first security posture is embedded in infrastructure design — not bolted on.  

Leadership Expectations

• Communicate infrastructure strategy in business terms — translating technical investments into cost, risk, and value outcomes for executive and non-technical audiences.  

• Lead through change: this role will require managing teams and vendors through significant organizational and technology transformation while sustaining engagement and performance.  

• Build and develop a high-performing, globally distributed team with a culture of continuous improvement, psychological safety, and engineering excellence.  

• Operate as a collaborative partner to peer leaders across Enterprise Applications, Enterprise Data & Intelligence, Content platforms, Security, and customer-facing Product teams.  

• Navigate complexity and competing priorities across a matrixed global organization, influencing without direct authority where needed.  

• Foster a metrics-driven engineering culture, using OKRs, DORA metrics, and reliability indicators to drive accountability and continuous improvement.  

Qualifications

• Significant years of progressive technology experience, including leading infrastructure, cloud engineering, platform engineering, AI/MlOps and/ or delivery engineering teams at a global scale.  

• Demonstrated track record of leading large-scale cloud modernization or infrastructure transformation programs — ideally within a complex, matrixed enterprise environment.  

• Deep technical fluency across hybrid cloud environments (AWS, GCP, and/or Azure), cloud governance, infrastructure automation, and modern DevOps practices.  

• Hands-on understanding of FinOps principles and cloud cost governance, with demonstrated ability to manage and optimize multi-million dollar cloud budgets.  

• Experience establishing SRE practices, SLO frameworks, and observability capabilities in complex, distributed environments.  

• Experience managing managed service providers and strategic technology vendors, including contract negotiation and SLA accountability.  

• Strong financial acumen with experience managing multi-million dollar infrastructure budgets and demonstrating cost optimization results.  

• Proven ability to build and lead globally distributed engineering teams, including offshore and nearshore delivery models.  

• Demonstrated experience with AI/ML infrastructure — including LLMOps, GPU compute governance, model serving, and agentic workflow infrastructure — strongly preferred.  

• Experience in content, publishing, media, information services, or SaaS-adjacent industries is a plus.  

• Bachelor's degree in Computer Science, Engineering, or related field required; advanced degree preferred.  

Success in the First 12–18 Months

• A clear, cost cloud modernization roadmap is in place and delivering early wins—measurable reduction in technical debt and infrastructure spend.  

• DevOps and platform engineering maturity has improved across key metrics: deployment frequency, lead time, and system reliability.  

• Infrastructure and platform service delivery is measurably better for employees globally, with self-service adoption increasing and end-user satisfaction scores improving. 

• Vendor and managed service relationships are operating to clear performance standards, with defined accountability structures and regular business reviews.  

• A high-performing, engaged infrastructure leadership team is in place with clear development paths and strong cross-functional partnerships established.  

We power infinite possibilities.

For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing—creating impact that reaches everywhere.

We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives.

We are proud that our workplace promotes continual learning and internal mobility. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow.
We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles in the United Kingdom, Canada, USA, Austria, Czechia, Denmark, France, Greece, Italy, Netherlands, Romania, or Spain. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies.
When applying, please attach your resume/CV to be considered.

Salary Range:

145,200.00 USD to 212,800.00 USD

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