Key Responsibilities

• Define the enterprise storage vision, reference architecture, engineering standards, and five-year roadmap across block, file, object, software-defined, and hybrid storage services.

• Lead architecture decisions for on-premises AI infrastructure, including high-throughput and low-latency storage for model training, inference, data pipelines, GPU platforms, and large unstructured datasets.

• Develop data placement, lifecycle, tiering, retention, encryption, immutability, replication, archival, and secure disposition patterns aligned with data governance, privacy, regulatory, and business requirements.

• Design highly available and recoverable storage solutions that meet performance, capacity, resilience, disaster recovery, and service-level objectives.

• Create workload-aligned storage service tiers and reusable architecture patterns for virtualized, containerized, database, analytics, and AI environments.

• Own capacity forecasting, performance modeling, technology refresh planning, and financial analysis to optimize capital and operating expenses.

• Evaluate emerging storage technologies and conduct proofs of concept, benchmarks, risk assessments, and total-cost-of-ownership analyses.

• Provide technical leadership for platform modernization, migrations, consolidations, upgrades, and decommissioning initiatives with minimal business disruption.

• Establish observability, automation, infrastructure-as-code, configuration management, and self-service capabilities that improve reliability and reduce operational effort.

• Partner with cybersecurity, risk, compliance, and data governance teams to strengthen controls, evidence, recoverability, and ransomware resilience.

• Serve as the escalation point for complex storage performance, availability, interoperability, and data integrity issues; lead root-cause analysis and permanent corrective actions.

• Develop architecture documentation, standards, decision records, executive presentations, and investment recommendations for technical and business leadership.

• Mentor engineers, lead design reviews, and raise engineering practices across storage, backup, compute, network, cloud, and platform teams.

• Manage strategic technical relationships with Dell Technologies, Pure Storage, NetApp, IBM, and other infrastructure partners, including roadmap alignment, solution validation, support escalation, and commercial input.

Required Qualifications

• Bachelor’s degree in computer science, information systems, engineering, or a related discipline, or equivalent practical experience.

• Typically 10 or more years of enterprise infrastructure experience, including significant responsibility for storage engineering and architecture in large, complex environments.

• Demonstrated success creating multi-year technology strategies, reference architectures, roadmaps, standards, and investment plans.

• Deep expertise in SAN, NAS, object storage, storage networking, replication, snapshots, data reduction, quality of service, and high-availability design.

• Hands-on architecture and engineering experience with Dell Technologies, Pure Storage, NetApp, and IBM storage platforms.

• Strong understanding of data governance, data classification, retention, legal hold, encryption, access control, privacy, compliance, and secure data disposal.

• Experience designing storage for on-premises AI and high-performance data platforms, including GPU-intensive workloads, parallel data access, high-bandwidth networking, and large-scale data pipelines.

• Expertise in capacity planning, performance analysis, workload characterization, availability engineering, disaster recovery, and cyber-recovery architecture.

• Experience integrating storage with Linux, Windows, virtualization, containers, Kubernetes or OpenShift, databases, backup platforms, and hybrid-cloud services.

• Experience with automation and infrastructure-as-code using technologies such as Python, PowerShell, Ansible, Terraform, REST APIs, or equivalent tools.

• Strong business acumen with the ability to develop cost models, evaluate vendor proposals, quantify risk, and communicate recommendations to executive leadership.

• Excellent written, verbal, facilitation, and mentoring skills, with the ability to influence across organizational boundaries without direct authority.

Preferred Qualifications

• Relevant vendor or industry certifications in storage, cloud, security, networking, Kubernetes, or enterprise architecture.

• Experience supporting healthcare, financial services, or another highly regulated enterprise environment.

• Knowledge of NVMe, NVMe over Fabrics, Ethernet and Fibre Channel storage networking, parallel file systems, data lakes, and modern object-storage architectures.

• Experience with FinOps, chargeback or showback, sustainability planning, and enterprise technology lifecycle management.

Success Measures

• A clear, funded, and regularly maintained five-year storage roadmap aligned with business, application, data, cloud, and AI strategies.

• Improved platform availability, performance, recoverability, security, and engineering standardization.

• Accurate capacity forecasts and measurable reductions in unit cost, technical debt, platform complexity, and manual effort.

• Successful delivery of modernization and migration initiatives with controlled risk and minimal service disruption.

• Strong governance adoption, audit readiness, vendor accountability, and stakeholder confidence in storage investment decisions.

10+ years of enterprise infrastructure experience, including significant responsibility for storage engineering and architecture in large, complex environments.