Research Manager Jobs

About The Position

Requirements

• Bachelor's or Master's degree in business administration, computer science, data science, information science, or a related field.
• At least 8 years of progressive IT experience, including experience managing small or mid-size teams; enterprise-scale storage infrastructure, research computing environments, or large-scale data platforms are preferred contexts.
• Experience leading complex projects or delivery involving resources, vendors, and budgets.
• Experience managing teams in a supervisory or leadership capacity; preferably at least 3 years leading technical teams or infrastructure operations.
• Proven performance in an earlier or comparable role.

Nice To Haves

• Experience managing storage technologies across on-premises, colocation, and/or cloud environments.
• Experience working with storage vendors, managed service providers, or strategic technology partners.
• Strong understanding of storage architecture, capacity planning, backup, replication, data protection, disaster recovery, business continuity, on-premises and cloud storage, and performance optimization.
• Demonstrated success leading operational service delivery and infrastructure lifecycle management.
• Excellent communication and stakeholder management skills.
• Experience supporting HPC, AI, machine learning, scientific computing, or large-scale research environments.
• Experience administering or supporting IBM Storage Scale (GPFS), Lustre, or comparable parallel file systems.
• Familiarity with object storage platforms and S3-compatible architectures.
• Experience designing and operating multi-tiered storage ecosystems spanning flash, disk, archive, cloud, and replication tiers.
• Knowledge of using local NVMe resources, burst buffers, caching layers, or node-local storage to accelerate AI and HPC workloads.
• Experience supporting genomics, imaging, microscopy, or other high-throughput research data pipelines.
• Experience with storage benchmarking, observability platforms, telemetry, and capacity forecasting.
• Knowledge of disaster recovery, business continuity, cyber resilience, and data protection frameworks.
• Experience supporting GPU computing, distributed AI training, and large-scale analytics platforms.

Responsibilities

• Develop and manage the roadmap for centralized research storage platforms, including high-performance file systems, object and archival storage, cloud-integrated storage, and secure research environments.
• Lead architecture planning for growth in AI, machine learning, scientific computing, research instrumentation, and emerging research technologies.
• Evaluate technology and vendor solutions to improve performance, resilience, scalability, user experience, and cost efficiency; support planning for increases in research data volume and complexity.
• Ensure reliable research storage services for HPC, AI, regulated research environments, institutional applications, and data-intensive science.
• Establish and monitor service-level objectives, operational metrics, capacity forecasts, and performance benchmarks.
• Develop reporting and dashboards to support leadership decisions, budgeting, procurement, and lifecycle planning.
• Lead incident management, root-cause analysis, change management, and continuous service improvement; document operational procedures and knowledge, and support centralized asset management and information security.
• Manage storage vendor relationships, governance meetings, technical reviews, architecture planning, and service performance assessments.
• Review equipment proposals, quotations, statements of work, and technology recommendations; define RACI models, escalation processes, and responsibilities across internal teams and service providers.
• Partner with researchers, data stewards, and RIS leadership to align storage services with data management objectives; support governance, archival processes, retention strategies, and lifecycle management.
• Collaborate with Information Security and compliance partners on controls for sensitive and regulated research data; promote stewardship, efficient resource use, and sustainable storage growth.
• Develop and maintain storage-related disaster recovery and business continuity strategies, including resiliency, recoverability, backup, replication, immutable recovery, and cyber resilience capabilities.
• Partner with Information Security, Technology Services, and RIS leadership to define recovery objectives, procedures, and operational response plans.
• Lead disaster recovery testing and recovery validation exercises; maintain documentation for audits, business continuity, and disaster recovery requirements.
• Identify and mitigate risks involving storage infrastructure, vendor dependencies, capacity constraints, and emerging technologies.
• Lead, mentor, and develop storage engineers, infrastructure specialists, and trusted consultants; foster accountability, operational excellence, innovation, collaboration, and customer service.
• Support hiring, performance management, career development, succession planning, and workforce growth; build partnerships across RIS, Technology Services, Information Security, Shared Resources, and the research community.