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Datacenter Manager Jobs in Michigan (NOW HIRING)

Deloitte

AI Datacenter Associate VP

Detroit, MI · Hybrid

AI Datacenter & Infrastructure Associate VP Join our AI & Engineering team by transforming ... Take accountability for meeting project milestones, managing budgets, and maintaining strong client ...

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Datacenter Manager information

See Michigan salary details

$45.9K

$153K

How much do datacenter manager jobs pay per year?

As of Jun 1, 2026, the average yearly pay for datacenter manager in Michigan is $145,430.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,700.00 and $151,700.00 per year, depending on experience, location, and employer.

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.

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 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 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.

Datacenter Manager jobs near you
Infographic showing various Datacenter Manager job openings in Michigan as of May 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 57% In-person, 14% Hybrid, and 29% Remote job distribution, with an average salary of $145,430 per year, or $69.9 per hour.
AI Datacenter & Infrastructure Senior Manager

AI Datacenter & Infrastructure Senior Manager

Deloitte

Detroit, MI • Hybrid

$107.40K - $146K/yr

Other

Posted 29 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services

Job description

AI Datacenter & Infrastructure Senior Manager -AI & Engineering

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 05/30/2026.

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 $175,300 to $322,900. 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.

Information for applicants with a need for accommodation: 

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Qualifications:

AI Datacenter & Infrastructure Senior Manager -AI & Engineering

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 05/30/2026.

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-funct...

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