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Datacenter Finance Jobs in Dallas, TX (NOW HIRING)

Talentstra

DataCenter Sales

Dallas, TX · On-site

Finance and commercial teams * Ensure customer commitments align with capacity, SLAs, and margin ... Cloud services * Datacenters * HPC / GPU computing * Proven track record of selling ...

New

Clarity Recruitment

Financial Analyst

Dallas, TX · On-site

$70K - $100K/yr

Reporting to the VP of Finance, you'll gain hands-on exposure to datacenter campus budgeting, construction cost analysis, debt management, and financial reporting -- all while receiving active ...

New

Mindlance

Network Engineer

Frisco, TX · On-site

... l services, engineering, semiconductor, clinical and pharmaceutical domains. You can learn more about us at www.mindlance.com. Title: Network Engineer IV - Datacenter Networking Location: Frisco, TX, ...

New

Compass Datacenters

Sr. Financial Analyst

Dallas, TX · On-site

$84K - $105K/yr

Finance lead on Datacenter projects from Development through Construction completion * Support the development of new project financial models * Analyze and interpret construction cost data to ensure ...

Compass Datacenters

Sr. Financial Analyst

Dallas, TX

$84K - $105K/yr

Finance lead on Datacenter projects from Development through Construction completion * Support the development of new project financial models * Analyze and interpret construction cost data to ensure ...

Compass Datacenters

Sr. Financial Analyst

Dallas, TX · On-site

$84K - $105K/yr

Finance lead on Datacenter projects from Development through Construction completion * Support the development of new project financial models * Analyze and interpret construction cost data to ensure ...

Compass Datacenters

Sr. Financial Analyst

Dallas, TX · On-site

$70 - $90/hr

Finance lead on Datacenter projects from Development through Construction completion * Support the development of new project financial models * Analyze and interpret construction cost data to ensure ...

Saxon Global

Network Engineer IV

Frisco, TX · On-site

... as Financial Services, Retail, Telecom, Healthcare and Banking for their continued growth ... Experience with Datacenter migrations - capable of migrating load balancing objects from existing ...

Microsoft

Lease Construction Manager

Dallas, TX · On-site

$125K - $206K/yr

Manage all phases of leased datacenter construction projects, including site readiness, fit-out ... Financial Management: * Ensure adherence to Microsoft financial governance processes. * Oversee ...

Digipulse Technologies, Inc

Reliability engineer

Dallas, TX · On-site

$101K - $128K/yr

... into alternate datacenters, and testing of recovery processes. We are looking for a systems ... related financial activities and the rules and regulations of numerous self-regulatory ...

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Showing results 1-20

All JobsDatacenter Finance JobsDatacenter Finance Jobs in Dallas, TX

Datacenter Finance information

See Dallas, TX salary details

$50.9K

$145.9K

$194.9K

How much do datacenter finance jobs pay per year?

As of Sep 3, 2026, the average yearly pay for datacenter finance in Dallas, TX is $145,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,100.00 and $193,900.00 per year, depending on experience, location, and employer.

What is datacenter finance?

Datacenter Finance refers to the financial management, planning, and analysis involved in operating and maintaining data centers. This includes tasks such as budgeting, forecasting, cost analysis, and capital expenditure planning for data center infrastructure, utilities, and IT equipment. Professionals in this field work closely with operations, engineering, and procurement teams to ensure efficient allocation of resources and to optimize costs. They also monitor financial performance and help guide decision-making for expansions, upgrades, or other strategic initiatives related to data centers.

What are the key skills and qualifications needed to thrive in datacenter finance?

To thrive in Datacenter Finance, you need strong financial analysis, budgeting, and cost management skills, typically supported by a degree in finance, accounting, or a related field. Familiarity with financial software like SAP, Oracle Financials, and advanced Excel, as well as certifications such as CPA or CFA, are commonly required. Exceptional attention to detail, communication, and problem-solving abilities help professionals collaborate effectively and make informed decisions. These competencies ensure accurate financial planning and operational efficiency in the complex and capital-intensive datacenter environment.

What are some common challenges faced by professionals in datacenter finance, and how can they be addressed?

Professionals in Datacenter Finance often encounter challenges such as managing fluctuating operational costs, forecasting expenditures for rapidly evolving technology, and ensuring compliance with regulatory requirements. To address these, it’s crucial to work closely with technical teams to understand infrastructure needs, utilize advanced financial modeling tools, and stay updated on industry regulations. Building strong cross-departmental relationships can also help anticipate changes and enable more accurate financial planning.

What is the difference between Datacenter Finance vs Data Center Operations Manager?

AspectDatacenter FinanceData Center Operations Manager
Primary FocusFinancial planning, budgeting, cost analysis of data centersOverseeing daily data center operations and infrastructure management
Required SkillsFinancial analysis, budgeting, accounting, industry knowledgeOperations management, technical knowledge, team leadership
Work EnvironmentOffice-based, collaboration with finance and technical teamsOn-site management, technical environment oversight
CertificationsFinance or accounting certifications often preferredTechnical or operations management certifications

While Datacenter Finance focuses on financial planning and cost management of data centers, Data Center Operations Managers handle the day-to-day technical operations and infrastructure. Both roles are essential in data center management but differ in their core responsibilities and skill sets.

What are popular job titles related to Datacenter Finance jobs in Dallas, TX?

For Datacenter Finance jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Datacenter Finance jobs in Dallas, TX look for?

The top searched job categories for Datacenter Finance jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Datacenter Finance jobs?

Cities near Dallas, TX with the most Datacenter Finance job openings:

Datacenter Finance jobs near you
Infographic showing various Datacenter Finance job openings in Dallas, TX as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 97% In-person, and 3% Hybrid job distribution, with an average salary of $145,873 per year, or $70.1 per hour.

DataCenter Sales

Talentstra

Dallas, TX • On-site

Other

Posted 3 days ago

New

Job description

Position-     Business Development Lead - AI Infrastructure & DataCenter Services

Location-  Bay Area, CA or Dallas, TX

Interview-  Phone and Skype

Duration-    Full-Time Opportunity




Role Overview:

Our Exclusive Client is an AI Datacenter and cloud services company, providing datacenter services and operating a large fleet of high‑performance GPU infrastructure designed for AI/ML training, inference, and generative AI workloads. We are seeking a Business Development Lead – AI Infrastructure to drive growth by sourcing, structuring, and closing AI infrastructure opportunities.

This leader will work closely with AI startups, system integrators (SIs), cloud/ISV partners, and enterprise customers to build long‑term alliances and translate AI demand into sustained GPU and datacenter utilization.

The role combines strategic ecosystem building with hands‑on deal execution in a fast‑growing AI infrastructure market.

Key Responsibilities:

1. AI Infrastructure Business Development

  • Identify, qualify, and close opportunities for GPU compute, AI clusters, managed AI platforms, and AI datacenter services
  • Drive adoption of GPU capacity for:
  • GenAI model training and fine‑tuning
  • Inference platforms
  • AI SaaS and AI-native startups
  • Enterprise AI transformation programs
  • Own the full sales lifecycle: opportunity sourcing → solution shaping → commercial negotiation → closure

2. Startup & AI Ecosystem Engagement

  • Build deep relationships with AI/ML startups, scale‑ups, and founders
  • Position the Client as a preferred AI infrastructure partner for startups graduating from cloud to dedicated GPU infrastructure
  • Design startup‑friendly offerings (credits, ramp‑up models, co‑marketing, GTM partnerships)

3. SI & Partner Alliances

  • Forge strategic partnerships with:
  • Global and regional System Integrators (SIs)
  • AI solution providers and MLOps vendors
  • ISVs building AI platforms and applications
  • Enable partners with reference architectures, pricing constructs, and joint GTM motions
  • Support co‑selling and partner‑led pipeline creation

4. Enterprise & GCC Opportunities

  • Work with enterprises, GCCs, and digital transformation leaders to source:
  • AI factory deployments
  • Private / sovereign AI infrastructure
  • Hybrid AI cloud + datacenter models
  • Collaborate with internal solution architecture and delivery teams to build compelling proposals

5. Market Intelligence & Strategy

  • Track AI infrastructure demand trends, GPU utilization patterns, and competitive landscape
  • Provide input into:
  • Capacity planning and GPU roadmap
  • Pricing and commercial models
  • New service offerings (managed AI, sovereign AI, industry‑specific stacks)

6. Internal Collaboration

  • Work closely with:
  • Datacenter operations
  • AI platform and engineering teams
  • Finance and commercial teams
  • Ensure customer commitments align with capacity, SLAs, and margin objectives

Success Metrics (KPIs):

  • Revenue and margin from AI infrastructure deals
  • GPU capacity utilization and ramp‑up velocity
  • Qualified pipeline from startups, SIs, and partners
  • Number and quality of strategic alliances formed
  • Deal size, deal velocity, and customer retention

Required Qualifications:

  • 10–15+ years of experience in business development, sales, or partnerships in one or more of:
  • AI infrastructure
  • Cloud services
  • Datacenters
  • HPC / GPU computing
  • Proven track record of selling infrastructure‑led solutions (IaaS, GPUaaS, private cloud, AI platforms)
  • Strong understanding of:
  • AI/ML workloads and GenAI economics
  • GPU platforms (NVIDIA, AMD, etc.)
  • AI training vs inference requirements
  • Experience working with startups, SIs, and enterprise customers
  • Ability to operate at both strategic and execution levels

Preferred / Nice‑to‑Have:

  • Existing relationships with AI startups, VC ecosystem, or accelerator programs
  • Experience with sovereign cloud, regulated industries, or government AI programs
  • Exposure to MLOps platforms, AI frameworks, or AI software stacks
  • Prior role in scaling a new infrastructure or platform business

Personal Attributes:

  • Entrepreneurial mindset with strong ownership
  • Comfortable in ambiguity and fast‑growth environments
  • Strong commercial acumen and negotiation skills
  • Credible advisor to CTOs, CIOs, and AI leaders
  • Excellent communication and ecosystem‑building skills


Thanks,

Akshat Gupta

Senior Executive Search Consultant

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