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Datacenter Manager Jobs in Columbus, OH (NOW HIRING)

Deloitte

AI Datacenter Associate VP

Columbus, OH · Hybrid

AI Datacenter & Infrastructure Associate VP Join our AI & Engineering team by transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success.

Fusion HCR

Project Manager

Columbus, OH

Our Client is an industry- leading commercial Concrete Contractor specializing in delivering quality cast-in-place concrete work in the Multi-Family, Mixed-Use, Higher Ed, Healthcare, Datacenter,

CBRE

Materials Manager - Data Center

New Albany, OH · On-site

$90K/yr

About the Role: We are looking for a highly energetic, result-oriented, passionate, and hands-on Materials Manager with a desire to join a growing team. The person should be able to support and

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All JobsDatacenter Manager JobsDatacenter Manager Jobs in Columbus, OH

Datacenter Manager information

See Columbus, OH salary details

$33.8K

$150.4K

$162.3K

How much do datacenter manager jobs pay per year?

As of Jun 15, 2026, the average yearly pay for datacenter manager in Columbus, OH is $150,377.00, according to ZipRecruiter salary data. Most workers in this role earn between $161,300.00 and $161,300.00 per year, depending on experience, location, and employer.

What are some common challenges Datacenter Managers face in ensuring optimal uptime and performance?

Datacenter Managers often face challenges such as maintaining consistent uptime, managing cooling and power demands, and responding quickly to unexpected outages or hardware failures. They must balance routine maintenance with minimizing service disruptions, and coordinate effectively with IT, facilities, and security teams. Staying current with evolving technologies and regulatory requirements also requires ongoing learning and adaptability. Proactive planning and strong communication skills are essential to overcoming these hurdles and ensuring the datacenter runs smoothly.

What is the difference between Datacenter Manager vs Data Center Technician?

AspectDatacenter ManagerData Center Technician
CredentialsTypically requires a bachelor’s degree in IT, computer science, or related field; certifications like CDCP or Cisco CCNA are commonUsually requires a high school diploma or associate degree; certifications like CompTIA Server+ or Cisco CCNA are beneficial
Work EnvironmentOversees data center operations, manages staff, and plans infrastructure upgradesPerforms hardware installation, troubleshooting, and maintenance within the data center
Employer & Industry UsageUsed by data center operators, cloud providers, and large enterprisesEmployed by data centers, IT service providers, and hardware vendors

The main difference is that the Datacenter Manager oversees overall operations and strategic planning, while the Data Center Technician focuses on hands-on hardware and maintenance tasks. Both roles are essential for data center efficiency but differ in responsibilities and required experience.

Who are the big 5 in data centers?

The Big 5 in data centers typically refer to the five largest cloud service providers: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, Alibaba Cloud, and IBM Cloud. These companies dominate the industry in terms of infrastructure, market share, and global data center presence, making them key players for data center managers to monitor and collaborate with.

What are Datacenter Managers?

Datacenter Managers are professionals responsible for overseeing the operations, maintenance, and security of data centers, which house critical IT infrastructure such as servers, networking equipment, and storage systems. Their main duties include ensuring maximum uptime, managing technical staff, coordinating hardware and software installations, and implementing safety and disaster recovery protocols. They also monitor energy efficiency, control budgets, and enforce compliance with industry standards. Datacenter Managers play a vital role in ensuring the reliability and performance of IT services that organizations depend on.

What does a data center manager do?

A data center manager oversees the operation, maintenance, and security of data center facilities, ensuring that servers, networking equipment, and power systems function efficiently. They coordinate staff, manage budgets, implement safety protocols, and ensure compliance with industry standards, often using tools like monitoring software and certifications such as CDCP or CDCS. Their role is critical for maintaining reliable IT infrastructure and minimizing downtime.

How much does a data center manager make?

A data center manager's salary varies based on experience, location, and company size, but typically ranges from $90,000 to $150,000 annually. At Amazon, data center managers often earn toward the higher end of this range, with additional benefits and opportunities for bonuses and stock options.

What are the key skills and qualifications needed to thrive as a Datacenter Manager, and why are they important?

To thrive as a Datacenter Manager, you need expertise in IT infrastructure, systems administration, and facilities management, often supported by a degree in computer science or related fields. Familiarity with data center management tools, network monitoring systems, and certifications like CompTIA Server+ or DCIM are typically required. Strong leadership, problem-solving, and communication skills set top candidates apart, enabling them to manage teams and coordinate with multiple stakeholders. These abilities are essential for ensuring data center reliability, operational efficiency, and the security of critical business assets.

How much do data center managers make in the US?

Data center managers in the US typically earn a median annual salary of around $100,000 to $130,000, depending on experience, location, and the size of the data center. Salaries can vary based on certifications, technical skills, and the complexity of the infrastructure managed.
What cities near Columbus, OH are hiring for Datacenter Manager jobs? Cities near Columbus, OH with the most Datacenter Manager job openings:
Datacenter Manager jobs near you
Infographic showing various Datacenter Manager job openings in Columbus, OH as of June 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $150,377 per year, or $72.3 per hour.
AI Datacenter Associate VP

AI Datacenter Associate VP

Deloitte

Columbus, OH • Hybrid

Other

Posted 21 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

AI Datacenter & Infrastructure Associate VP

Join our AI & Engineering team by transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll collaborate with talented professionals, reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages innovative engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 06/26/2026.

Work you'll do

  • Drive the strategy and delivery of AI-centric datacenter transformations: Lead the end-to-end planning, design, and execution of complex infrastructure projects, aligning with clients' business and AI objectives.
  • Shape client solutions and build trusted relationships with architects and executives: Serve as a strategic advisor to C-suite and senior IT leaders, translating business needs into innovative infrastructure solutions that enable advanced AI capabilities.
  • Oversee multi-disciplinary project teams: Direct and mentor diverse teams, ensuring seamless collaboration across infrastructure, AI, cloud, and cybersecurity domains to deliver high-impact outcomes.
  • Build and grow the AI Datacenter practice & capabilities: Lead the growth, strategy, and talent development of the AI Datacenter practice by shaping service offerings, driving innovation, expanding client relationships, and building high-performing teams to deliver market-leading infrastructure solutions.
  • Advance thought leadership and market presence: Represent the firm at industry events, contribute to go-to-market strategies, and drive the development of reusable assets that showcase our expertise in AI datacenter solutions.
  • Ensure high-quality project delivery and client satisfaction: Take accountability for meeting project milestones, managing budgets, and maintaining strong client relationships through proactive communication and solution-oriented problem solving.
  • Promote continuous innovation: Champion emerging technologies and best practices in AI, edge computing, and hybrid cloud, fostering a culture of learning and excellence within the team.
The Team
Our Hybrid Cloud Infrastructure offering delivers specialized engineering capabilities to design, implement, manage, and operate hybrid cloud environments. We modernize networks and AI infrastructure from the core to the edge and develop new infrastructure and device services to help clients stay ahead with the latest technology advancements.
 
Qualifications

Required

  • 10+ years of experience modernizing and adapting datacenter environments to align with clients' specific requirements, enabling successful execution of tailored AI strategies
  • 10+ years of experience designing architectures that span on-prem, colocation, and hyperscaler environments; experience with containerized AI workloads (Kubernetes, Kubeflow), data fabric patterns, and edge inference deployment strategies.
  • 10+ years of experience architecting, implementing, and optimizing enterprise-scale Hybrid Infrastructure Solutions (i.e., GPU platforms, server hardware, AI Transformation)
  • 7+ years or experience designing, delivering, and supporting hybrid cloud and as-a-Service solutions, integrating ease-of-use features for end-users, onboarding via ITSM tools (ServiceNow), and ensuring compliance with enterprise security and governance standards.
  • 7+ years of experience implementing infrastructure as code (Terraform, Ansible), AI Ops for predictive maintenance, DCIM modernization, and automation pipelines for provisioning and monitoring GPU clusters.
  • 10+ years of experience in project management, including planning, organizing, and delivering complex infrastructure projects on time and under budget; skilled at managing cross-functional teams, setting clear objectives, and mitigating risks to ensure project success.
  • 12+ years of relevant consulting or industry experience and large scale, enterprise class consulting or systems integration experience
  • 7+ years of experience modernizing and adapting datacenter environments to align with clients' specific requirements, enabling successful execution of tailored AI strategies
  • Bachelor's Degree or equivalent experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred

  • Deep knowledge of AI/ML workload characteristics (training vs. inference), GPU/TPU architectures, high-performance interconnects (InfiniBand, NVLink), and energy-efficient cooling/power systems (liquid cooling, DCIM, sustainability metrics)
  • Strong financial modeling skills for TCO/ROI, capacity planning for AI workloads, and applying ESG principles (e.g., PUE optimization, carbon-aware computing) to infrastructure investments.
  • Proven ability to lead cross-functional teams delivering AI-ready data center transformations; adept at executive storytelling, client relationship development, and managing multi-million-dollar transformation portfolios.
  • Understanding of hyperscaler services (AWS Bedrock, Azure AI, GCP Vertex AI), colocation and interconnect providers, and hardware ecosystems (NVIDIA DGX, Dell, HPE, Supermicro). Able to architect vendor-neutral and partnership-driven client strategies.
  • Ability to make and meet commitments on a tight timeline with right-sized scoping on "must haves" to realize customer wins.
  • High executive presence and presentation skills with a high degree of comfort with both large and small audiences, with varying degree of technical depth
  • Experience collaborating with cross-functional teams (Sales, Marketing, Product) to develop and execute market expansion strategies.
  • Proven ability to collaborate with Data Scientists and ML Engineers to understand infrastructure needs and deliver robust, scalable solutions.

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $171,600 to $338,300. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.


Qualifications:

AI Datacenter & Infrastructure Associate VP

Join our AI & Engineering team by transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll collaborate with talented professionals, reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages innovative engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Recruiting for this role ends on 06/26/2026.

Work you'll do

  • Drive the strategy and delivery of AI-centric datacenter transformations: Lead the end-to-end planning, design, and execution of complex infrastructure projects, aligning with clients' business and AI objectives.
  • Shape client solutions and build trusted relationships with architects and executives: Serve as a strategic advisor to C-suite and senior IT leaders, translating business needs into innovative infrastructure solutions that enable advanced AI capabilities.
  • Oversee multi-disciplinary project teams: Direct and mentor diverse teams, ensuring seamless collaboration across infrastructure, AI, cloud, and cybersecurity domains to deliver high-impact outcomes.
  • Build and grow the AI Datacenter practice & capabilities: Lead the growth, strategy, and talent development of the AI Datacenter practice by shaping service offerings, driving innovation, expanding client relationships, and building high-performing teams to deliver market-leading infrastructure solutions.
  • Advance thought leadership and market presence: Represent the firm at industry events, contribute to go-to-market strategies, and drive the development of reusable assets that showcase our expertise in AI datacenter solutions.
  • Ensure high-quality project delivery and client satisfaction: Take accountability for meeting project milestones, managing budgets, and maintaining strong client relationships through proactive communication and solution-oriented problem solving.
  • Promote continuous innovation: Champion emerging technologies and best practices in AI, edge computing, and hybrid cloud, fostering a culture of learning and excellence within the team.
The Team
Our Hybrid Cloud Infrastructure offering delivers specialized engineering capabilities to design, implement, manage, and operate hybrid cloud environments. We modernize networks and AI infrastructure from the core to the edge and develop new infrastructure and device services to help clients stay ahead with the latest technology advancements.
 
Qualifications

Required

  • 10+ years of experience modernizing and adapting datacenter environments to align with clients' specific requirements, enabling successful execution of tailored AI strategies
  • 10+ years of experience designing architectures that span on-prem, colocation, and hyperscaler environments; experience with containerized AI workloads (Kubernetes, Kubeflow), data fabric patterns, and edge inference deployment strategies.
  • 10+ years of experience architecting, implementing, and optimizing enterprise-scale Hybrid Infrastructure Solutions (i.e., GPU platforms, server hardware, AI Transformation)
  • 7+ years or experience designing, delivering, and supporting hybrid cloud and as-a-Service solutions, integrating ease-of-use features for end-users, onboarding via ITSM tools (ServiceNow), and ensuring compliance with enterprise security and governance standards.
  • 7+ years of experience implementing infrastructure as code (Terraform, Ansible), AI Ops for predictive maintenance, DCIM modernization, and automation pipelines for provisioning and monitoring GPU clusters.
  • 10+ years of experience in project management, including planning, organizing, and delivering complex infrastructure projects on time and under budget; skilled at managing cross-functional teams, setting clear objectives, and mitigating risks to ensure project success.
  • 12+ years of relevant consulting or industry experience and large scale, enterprise class consulting or systems integration experience
  • 7+ years of experience modernizing and adapting datacenter environments to align with clients' specific requirements, enabling successful execution of tailored AI strategies
  • Bachelor's Degree or equivalent experience
  • Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred

  • Deep knowledge of AI/ML workload characteristics (training vs. inference), GPU/TPU architectures, high-performance interconnects (InfiniBand, NVLink), and energy-efficient cooling/power systems (liquid cooling, DCIM, sustainability metrics)
  • Strong financial modeling skills for TCO/ROI, capacity planning for AI workloads, and applying ESG principles (e.g., PUE optimization, carbon-aware computing) to infrastructure investments.
  • Proven ability to lead cross-functional teams delivering AI-ready data center transformations; adept at executive storytelling, client relationship development, and managing multi-million-dollar transformation portfolios.
  • Understanding of hyperscaler services (AWS Bedrock, Azure AI, GCP Vertex AI), colocation and interconnect providers, and hardware ecosystems (NVIDIA DGX, Dell, HPE, Supermicro). Able to architect vendor-neutral and partnership-driven client strategies.
  • Ability to make and meet commitments on a tight timeline with right-sized scoping on "must haves" to realize customer wins.
  • High executive presence and presentation skills with a high degree of comfort with both large and small audiences, with varying degree of technical depth
  • Experience collaborating with cross-functional teams (Sales, Marketing, Product) to develop and execute market expansion strategies.
  • Proven ability to collaborate with Data Scientists and ML Engineers to understand infrastructure needs and deliver robust, scalable ...

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