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Deloitte · 1 day ago

AI Datacenter & Infrastructure Senior Manager

Tampa, FL

Full-time

Hybrid

Director/Executive

$175K/yr - $323K/yr

10+ years exp

Deloitte is seeking an AI Datacenter & Infrastructure Senior Manager to join their AI & Engineering team, focusing on transforming technology platforms and driving innovation. The role involves leading AI-centric datacenter transformations, shaping client solutions, and overseeing multi-disciplinary project teams to deliver high-impact outcomes.

AccountingConsultingFinancial ServicesLegalProfessional ServicesRisk Management

Growth Opportunities

No H1B

Responsibilities

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

Qualification

AI-centric datacenter transformationsHybrid Infrastructure SolutionsInfrastructure as codeProject managementAI/ML workload characteristicsFinancial modeling skillsHyperscaler servicesExecutive presenceClient relationship developmentCross-functional collaboration

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