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Data Center Project Manager Jobs in Brandon, FL (NOW HIRING)

Manage multiple workstreams and ensure dependencies between business, technical, vendor, data, security, and operational activities are understood and coordinated. * Facilitate project meetings ...

Manage multiple workstreams and ensure dependencies between business, technical, vendor, data, security, and operational activities are understood and coordinated. * Facilitate project meetings ...

... data center, and solar power. Our cutting-edge technology includes Lithium batteries, Fault Managed ... The Project Design Engineer clarifies project scope with clients, oversees discussions with ...

... data center, and solar power. Our cutting-edge technology includes Lithium batteries, Fault Managed ... The Project Design Engineer clarifies project scope with clients, oversees discussions with ...

As a Project Manager at Avertra Corp, you will play a crucial role in ensuring the effective ... Data Accuracy and Utilization: * Ensure that data captured and maintained is accurate and ...

As a Project Manager at Avertra Corp, you will play a crucial role in ensuring the effective ... Data Accuracy and Utilization: * Ensure that data captured and maintained is accurate and ...

Contributes to PMO organization project strategy and data analytics, adopts best practices for multiple ongoing projects. * Develops, updates, and actively manages a comprehensive project plan ...

Project Manager

Tampa, FL · On-site

$60K - $80K/yr

About This Role At On-It, you'll sit at the center of our delivery engine. We're a Tampa-based ... Keep your pipeline complete, organized, and current at all times clean data is non-negotiable here.

Showing results 21-40

Data Center Project Manager information

See Brandon, FL salary details

$53.4K

$103.6K

$113K

How much do data center project manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data center project manager in Brandon, FL is $103,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $105,100.00 per year, depending on experience, location, and employer.

How does a data center project manager typically collaborate with cross-functional teams during large-scale infrastructure projects?

Data Center Project Managers frequently work with a diverse range of teams, including network engineers, construction crews, facilities management, and IT staff. Effective collaboration involves regular meetings to align project timelines, clarify technical requirements, and address any logistical challenges. They also facilitate communication between stakeholders to ensure all aspects of the project—such as safety, compliance, and resource allocation—are managed efficiently. This cross-functional teamwork is essential for delivering projects on time and within budget, while minimizing disruptions to ongoing data center operations.

What are the key skills and qualifications needed to thrive as a data center project manager, and why are they important?

To thrive as a Data Center Project Manager, you need expertise in project management methodologies, infrastructure planning, and a solid understanding of data center operations, typically supported by a bachelor's degree in engineering, IT, or a related field. Familiarity with project management tools (such as MS Project or Primavera), IT infrastructure systems, and certifications like PMP or ITIL are often expected. Strong leadership, communication, and problem-solving skills help drive collaboration and manage stakeholder expectations. These competencies ensure that complex data center projects are delivered efficiently, on schedule, and within budget while maintaining high operational standards.

What is a data center project manager?

Data Center Project Managers are professionals responsible for overseeing the planning, execution, and completion of projects related to data center operations, construction, or upgrades. They coordinate teams, manage budgets, ensure timelines are met, and maintain compliance with safety and industry standards. Their role often involves working with various stakeholders, such as engineers, IT specialists, and vendors, to ensure that data center projects meet technical and business requirements. Effective communication, organizational skills, and technical knowledge of data center infrastructure are crucial for success in this position.

What is the difference between Data Center Project Manager vs Network Engineer?

AspectData Center Project ManagerNetwork Engineer
CertificationsPMP, Data Center certificationsCCNA, CCNP, Network certifications
Work EnvironmentData centers, construction sites, project officesNetwork operations centers, client sites, offices
Industry UsagePlanning and overseeing data center projectsDesigning, implementing, and maintaining networks

The Data Center Project Manager focuses on managing data center construction and deployment projects, ensuring timelines and budgets are met. In contrast, a Network Engineer specializes in designing and maintaining network infrastructure. While both roles require technical knowledge, the Project Manager emphasizes project coordination, whereas the Network Engineer concentrates on network performance and security.

What are the responsibilities of a data center project manager?

A data center project manager works to manage computer systems and equipment in a data center facility. In this career, your duties and responsibilities include planning and scheduling equipment maintenance, allocating resources to handle new projects, creating an operations budget, and ensuring proper and efficient billing of clients. You also work with staff on scheduling, project assignments, and professional development. You may interact with clients to troubleshoot and to build a business relationship that could lead to future business opportunities.

What job categories do people searching Data Center Project Manager jobs in Brandon, FL look for? The top searched job categories for Data Center Project Manager jobs in Brandon, FL are:
What cities near Brandon, FL are hiring for Data Center Project Manager jobs? Cities near Brandon, FL with the most Data Center Project Manager job openings:
Infographic showing various Data Center Project Manager job openings in Brandon, FL as of July 2026, with employment types broken down into 84% Full Time, 15% Part Time, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $103,601 per year, or $49.8 per hour.

Director of Data Center

Imagine Staffing Technology

Saint Petersburg, FL • Remote

$170K - $200K/yr

Full-time

Re-posted yesterday


Job description

Job Title: Director of Data Strategy and Services
Location: St. Petersburg, FL
Hire Type: Direct Hire
Pay Range: $170,000 - $200,000
Work Type: Full-time
Work Model: Remote
Work Schedule: Monday – Friday, 8am – 5pm
Recruiter Contact: Sean Pebbles | 716.256.1259 | spebbles@imaginegroup.com
Nature & Scope:
Positional Overview
The Imagine Group is recruiting for a Director of Data Strategy and Services on behalf of our client, a leading provider of cloud-based software solutions that empower nonprofit organizations, associations, educational institutions, and mission-driven businesses to streamline operations and strengthen community engagement in St. Petersburg, FL. Through innovative technology and a customer-focused approach, the organization helps clients manage fundraising, membership, events, and financial processes while driving meaningful impact.
In this role you will be responsible for leading the strategic direction, daily operations, and performance of data center infrastructure to ensure the availability, security, and reliability of critical business systems. You will oversee capacity planning, disaster recovery, vendor relationships, and infrastructure projects while partnering with cross-functional teams to optimize operational efficiency, maintain compliance, and support long-term technology initiatives.
Role & Responsibility:
Tasks That Will Lead to Your Success
  • Enterprise Data Architecture & Strategy
  • Architecture Ownership: Own, evolve, and scale the enterprise data architecture supporting all product verticals.
  • Operational Standards: Establish standards, best practices, and repeatable patterns for data ingestion, transformation, and consumption.
  • Roadmap Alignment: Align data strategy directly with internal product roadmaps, engineering timelines, and advanced client analytics needs.
  • Planning & Design: * Define data migration scopes, constraints, historical requirements, and success criteria.
  • Design data mapping, transformation, enrichment, validation, and rollback protocols.
  • Partner with stakeholders to establish testing cycles, cutover plans, and client approvals.
  • Execution & Delivery: Oversee extraction, transformation, and loading (ETL) into test, UAT, and production environments.
  • Lead iterative migration cycles, resolve technical anomalies, and manage post-migration hypercare/remediation.
  • Deliver comprehensive migration completion documentation and client sign-offs.
  • Data Readiness: Assess source data usability; cleanse, normalize, and de-duplicate data sets to make them analytics-ready.
  • Custom Analytics & BI: Translate complex business objectives into custom dashboards, defining metrics, visualizations, filters, and refresh cadences.
  • Strategy Consulting: Advise clients on data collection methodologies (timing, frequency, automation) and practical data governance/stewardship operating frameworks.
  • Help define, manage, and mature the delivery workflows and quality standards associated with the Company’s AI Analytics subscription service offerings.
  • Prescriptive Analytics: Operationalize benchmarking frameworks and peer-group analysis, translating data into executive-ready insights for priority customer segments.
  • Service Commercialization: Track measurable client outcomes to develop case studies; partner with Product, Marketing, and Sales to support go-to-market and thought-leadership activities.
  • Integration Roadmap: Scope, prioritize, and support deal-driven integrations with third-party platforms to enhance workflow analytics.
  • Agentic Capabilities: Contribute to the creation, refinement, and client-facing alignment of agentic roles and AI-enabled capabilities.
  • Org Design: Build out the core Data Strategy & Services operating models, documentation standards, and prioritization frameworks.
  • Legacy Continuity: Maintain high-level Project Manager/Customer Engagement continuity for designated legacy accounts (requirements definition, risk management, internal coordination) during the initial transition framework.
  • Lead the creation and execution of cross-functional and cross-product data best practices.
  • Create and maintain Data COE Playbooks: Recommended operating models, prioritization frameworks, and service definitions for the scaled Data Strategy organization.
  • Create and maintain Technical Checklists: Robust service packages, data migration roadmaps, governance documentation, and architectural mapping guides.
  • Revenue in alignment with commercial targets.
  • Team billable utilization equal to or greater than goal.
  • Client NPS scores equal to or greater than goals.
Skills & Experience
Qualifications That Will Help You Thrive
  • Professional Experience: 7+ years of progressive leadership experience in Data Architecture, Enterprise Analytics, Business Intelligence, or Data Strategy.
  • Migration Domain Expertise: Demonstrated success in structuring and executing complex enterprise data migrations and third-party software integrations.
  • Consulting Background: Previous client-facing professional services or premium data consulting experience is highly preferred.
  • Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Business Administration, or an equivalent technical field.
  • Data management or governance certifications (e.g., DAMACDMP).
  • Core Competencies
  • Advanced Technology Literacy: Strategic understanding of BI tools, ETL architectures, cloud compliance, and modern agentic AI applications.
  • Cross-Functional Influence: Proven ability to partner dynamically across Product, Engineering, Sales, and Customer Success silos to operationalize data products and services.
  • Executive Communication: Exceptional communication, stakeholder management, and narrative-building skills capable of translating complex analytics into clear business actions.