Lead Director - Network and Data Center Engineering

9025 CVS Shared Services Resources LLC; New York (NY); Hybrid; USD 144,000 - 288,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Retirement savings options

Wellness programs

Other benefits

Job summary

CVS Health is seeking a Lead Director for AI Network & Data Center Engineering in New York to lead strategy, design, and delivery of high-performance, low-latency data center and cloud networking supporting enterprise AI/ML workloads.

You will guide a high-performing team, establish architectural standards, and drive automation and secure connectivity to enable large-scale GPU environments and modern application platforms.

Qualifications

• 10+ years’ experience in network and/or data center engineering.
• 5+ years’ experience in a strategic leadership position with people management.
• 5+ years’ experience in large scale enterprise environments.

Responsibilities

• Define and enforce network architecture standards, security controls, and compliance policies.
• Establish best practices for configuration, deployment, and operations.
• Ensure alignment with enterprise governance frameworks (HIPAA, NIST, PCI, HITRUST, CSA).
• Advise executives on network strategy, roadmaps, emerging technologies, and industry trends.
• Partner with cross-functional teams to deliver integrated, secure and scalable solutions.
• Engage vendors on solution architectures, design, contracts, and delivery.
• Design and implement data center fabrics and AI/GPU-optimized networking for low latency and high throughput.
• Optimize performance for GPU workloads and multi-cloud architectures.
• Oversee 24/7 network operations and incident response.
• Build and mentor high-performing engineering teams.
• Advance networking capabilities for AI/ML infrastructure and GPU clusters.

Skills

10+ years’ experience in network and/​

Strategic leadership experience

Large-scale enterprise environments

Education

Bachelor’s degree or equivalent experience

Tools

Certifications: CCIE/CCNP, PCNSE, CISSP, Cloud networking

Job description

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary

The Lead Director, AI Network & Data Center Engineering is responsible for leading the strategy, design, and delivery of the organization’s network infrastructure supporting enterprise applications and next-generation AI/ML workloads. This role oversees the development of high‑performance, low‑latency data center and cloud networking capabilities that enable large-scale GPU environments, advanced data processing, and modern application platforms. By establishing architectural standards, driving consistent execution, and ensuring secure, resilient connectivity, this position plays a critical role in supporting the organization’s most demanding technology initiatives. This leader is accountable for building and guiding a high-performing team of network and data center engineers, while aligning infrastructure capabilities to evolving business and security needs. Working closely with cloud, platform, and cybersecurity leadership, the role drives adoption of modern architectures, automation, and performance optimization practices to improve reliability, scalability, and efficiency. Through strong strategic direction and operational leadership, the Lead Director ensures the network function can support long-term growth, increasing AI demand, and enterprise-wide digital transformation.

Role Responsibilities:

Development & Enforcement

• Define and enforce network architecture standards, security controls, and compliance policies
• Establish best practices for configuration, deployment, and operations
• Ensure alignment with enterprise governance frameworks (HIPAA, NIST, PCI, HITRUST, CSA)

Collaboration & Expertise

• Advise executives on network strategy, roadmaps, emerging technologies, and industry trends
• Partner with cross-functional teams (platform, cloud, security, infrastructure) to deliver integrated, secure and scalable solutions
• Engage vendors on solution architectures, design, contracts, and delivery

Analysis & Configuration

• Design and implement: Data center fabrics (leaf-spine, Clos, EVPN/VXLAN) AI/GPU-optimized networking (low latency, high throughput) and related technologies
• Optimize performance for GPU workloads (RDMA, RoCE, ECN, PFC)
• GCP and multi-cloud network architectures
• Routing & switching (BGP, OSPF, MPLS, STP; Cisco, Juniper, Arista)
• High-speed networking (100/200/400Gb+) GPU cluster networking, traffic optimization, and congestion management
• Drive network monitoring and performance optimization (SolarWinds, NetFlow, Wireshark)
• Support SaaS and multi-tenant environments with zero trust patterns

Operational Support

• Oversee 24/7 network operations across cloud and data centers
• Lead incident response and ensure high availability, resiliency and scalability across network and cloud environments

Mentorship & Training

• Build and mentor high-performing engineering teams
• Foster a culture of collaboration, accountability, and continuous learning

Innovation and Research

• Advance networking capabilities for: AI/ML infrastructure and GPU clusters (NVIDIA architectures)
• High-performance networking (RoCE, PFC, ECN)
• Champion automation and Infrastructure as Code (IaC)
• Contribute to industry and open-source initiatives

Strategic Planning

• Own network architecture strategy and roadmap
• Define standards for AI, cloud, and data center environments
• Support budgeting, risk management, and long-term planning

Required Qualifications

• 10+ years’ experience in network and/or data center engineering
• 5+ years’ experience in a strategic leadership position with people management
• 5+ years’ experience in large scale enterprise environments

Preferred Qualifications

• Strong expertise in large-scale data center design, security, and high availability
• Advanced problem-solving, execution, and stakeholder management skills
• Experience with AI factory / GPU cluster environments at scale
• Enterprise networking, Cisco Nexus/ACI or similar platforms
• Network automation / IaC, SDN, service mesh, and cloud-native security frameworks
• High availability/disaster recovery design and cyber resilience

Certifications:

• CCIE/CCNP, PCNSE, CISSP, Cloud networking

Education

Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience)

Pay Range

The typical pay range for this role is: $144,200.00 - $288,400.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program.

Great benefits for great people

• medical, dental, and vision coverage
• paid time off
• retirement savings options
• wellness programs
• other resources, based on eligibility

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 11/16/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Our Work Experience is the combination of everything that's unique about us

Our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.