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Executive Data Crowd Compute Jobs in Riverside, CA

Solution Director

Irvine, CA · Hybrid

$175K - $215K/yr

Own and grow the Data Center Line of Business across compute, storage, networking, power, cooling ... Act as executive technical sponsor on strategic pursuits. * Provide architectural oversight on high ...

Own and grow the Data Center Line of Business across compute, storage, networking, power, cooling ... Act as executive technical sponsor on strategic pursuits. * Provide architectural oversight on high ...

Data Platforms builds the estate. AI Platforms provides the compute and runtime. Security and ... Partner with account executives and client partners to qualify opportunities honestly, including ...

Data Platforms builds the estate. AI Platforms provides the compute and runtime. Security and ... Partner with account executives and client partners to qualify opportunities honestly, including ...

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Showing results 1-20

Executive Data Crowd Compute information

See Riverside, CA salary details

$27.6K

$97.6K

$192K

How much do executive data crowd compute jobs pay per year?

As of Sep 1, 2026, the average yearly pay for executive data crowd compute in Riverside, CA is $97,600.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $125,700.00 per year, depending on experience, location, and employer.

What is the difference between Executive Data Crowd Compute vs Data Analyst?

AspectExecutive Data Crowd ComputeData Analyst
CredentialsTypically requires experience with data crowdsourcing platforms, data management, and sometimes certifications in data science or analyticsBachelor's degree in data science, statistics, or related fields; often includes certifications in data analysis tools
Work EnvironmentCollaborative, often remote, involving managing crowdsourced data projects and coordinating with multiple stakeholders
Industry UsageUsed in industries leveraging crowdsourced data collection and processing, such as market research, AI training, and data labeling
Search & Comparison IntentOften compared for roles involving managing or overseeing crowdsourced data projects

Executive Data Crowd Compute focuses on managing and coordinating crowdsourced data projects, often requiring experience with data platforms and project management. Data Analysts primarily analyze data sets to generate insights, requiring strong analytical skills and relevant certifications. While both roles work with data, Executive Data Crowd Compute emphasizes project oversight and crowdsourcing, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Executive Data Crowd Compute jobs in Riverside, CA?

For Executive Data Crowd Compute jobs in Riverside, CA, the most frequently searched job titles are:

What cities near Riverside, CA are hiring for Executive Data Crowd Compute jobs?

Cities near Riverside, CA with the most Executive Data Crowd Compute job openings:

Infographic showing various Executive Data Crowd Compute job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $97,600 per year, or $46.9 per hour.

President Data Center & AI Infrastructure (Hardware)

Vida Group International

Irvine, CA • On-site

Other

Posted 9 days ago


Job description

Our client is a high-growth, technology-enabled company serving the rapidly expanding data center, AI infrastructure, hyperscale, cloud, and mission-critical infrastructure markets. The company is seeking an accomplished President / Chief Executive Officer to lead its next phase of growth, operational transformation, and market expansion.

The successful executive will be an entrepreneurial, commercially driven leader with a proven record of building and scaling businesses in data centers, AI infrastructure, electrical infrastructure, power generation, cooling, mission-critical systems, industrial technology, engineered products, construction/EPC, or related infrastructure markets.

The President/CEO will have full responsibility for the company's P&L, strategy, growth, operations, commercial organization, customer relationships, talent, and shareholder value creation.

This is an opportunity to lead a business positioned at the intersection of several of the world's most significant secular growth trends: AI adoption, hyperscale data-center expansion, cloud computing, electrification, grid modernization, advanced cooling, power availability, and increasing demand for high-density computing infrastructure.



Key Responsibilitie

s1. Enterprise Strategy & Growt

  • hDevelop and execute a comprehensive 3–5 year growth strategy aligned with the company's market opportunity and shareholder objectives
  • .Identify and capitalize on emerging opportunities across AI factories, hyperscale data centers, colocation, edge computing, cloud infrastructure, and mission-critical facilities
  • .Expand the company's addressable market through new products, services, geographies, customers, channels, and strategic partnerships
  • .Evaluate opportunities for organic growth, acquisitions, joint ventures, strategic alliances, and partnerships
  • .Establish clear growth priorities, KPIs, accountability mechanisms, and operating cadence
  • .Position the company as a preferred supplier/partner to major hyperscalers, data-center operators, AI companies, EPC firms, developers, and infrastructure investors

.2. Full P&L Leadershi

  • pAssume complete responsibility for revenue, EBITDA, cash flow, working capital, capital allocation, and overall financial performance
  • .Drive profitable revenue growth while maintaining appropriate operational discipline
  • .Develop annual budgets, forecasts, long-range plans, and investment priorities
  • .Improve gross margins, EBITDA, productivity, asset utilization, and return on invested capital
  • .Establish rigorous financial and operating dashboards to monitor performance
  • .Balance near-term performance with long-term investment in technology, talent, capacity, and market expansion

.3. Commercial & Sales Leadershi

  • pPersonally lead the company's most important customer, partner, and strategic-account relationships
  • .Develop and institutionalize a world-class commercial organization
  • .Build relationships with senior executives at hyperscalers, cloud providers, AI companies, data-center developers, colocation operators, utilities, EPC contractors, and infrastructure investors
  • .Develop strategic account plans for the company's largest customers
  • .Increase wallet share, customer penetration, recurring revenue, and long-term contracts
  • .Develop pricing strategies that appropriately reflect the company's technology, intellectual property, capacity, and value proposition
  • .Create a culture of customer intimacy, accountability, speed, and measurable sales execution

.4. Data Center & AI Infrastructure Market Leadershi

pThe CEO will serve as a senior industry ambassador and help shape the company's position within the rapidly evolving data-center ecosystem

.Key areas include

:Power → Electrical Infrastructure → Generation → Cooling → Construction/EPC → Compute → Networking → Storage → Data Centers → AI/Cloud Customer

sThe executive should understand the increasing convergence between

  • :AI compute and data-center architectur
  • ePower generation and grid infrastructur
  • eHigh-voltage electrical system
  • sLiquid and advanced coolin
  • gGPU/accelerator infrastructur
  • eNetworking and connectivit
  • yData-center construction and modularizatio
  • nEnergy management and optimizatio
  • nAI infrastructure softwar
  • eHyperscale and colocation developmen

tThe CEO should anticipate market shifts and ensure the company is positioned ahead of customer demand rather than simply responding to existing programs

.5. Strategic Partnership

  • sDevelop partnerships with leading technology and infrastructure companies
  • .Identify opportunities to integrate the company's products/services into broader AI infrastructure and data-center platforms
  • .Build relationships across the ecosystem, including
  • :Hyperscaler
  • sAI/GPU companie
  • sData-center developer
  • sColocation provider
  • sUtilitie
  • sEPC firm
  • sSemiconductor companie
  • sOEM
  • sPrivate-equity firm
  • sInfrastructure investor
  • sEstablish strategic alliances that accelerate revenue growth and improve competitive positioning

.6. M&A and Business Developmen

  • tDevelop and execute an M&A strategy supporting the company's long-term growth objectives
  • .Identify complementary technologies, products, geographic markets, customer relationships, and capabilities
  • .Lead acquisition evaluation, due diligence, valuation, negotiations, and integration in partnership with the Board and investment partners
  • .Develop relationships with private equity, infrastructure funds, strategic investors, and financial institutions
  • .Evaluate opportunities to build a broader data-center and AI infrastructure platform

.7. Operations & Supply Chai

  • nEnsure the company has the operational capacity to support rapid market growth
  • .Improve manufacturing, engineering, project execution, quality, delivery, and customer service
  • .Build scalable processes capable of supporting hyperscale and mission-critical customers
  • .Strengthen strategic sourcing and supplier relationships
  • .Develop resilient supply chains for critical components and systems
  • .Drive continuous improvement, automation, digitalization, and productivity initiatives
  • .Ensure the organization can scale without compromising quality, safety, delivery, or customer satisfaction

.8. Technology & Innovatio

  • nMaintain a strong understanding of emerging technologies affecting the data-center and AI infrastructure markets
  • .Ensure R&D and engineering investments are aligned with customer requirements and market trends
  • .Encourage innovation in areas such as
  • :High-density computin
  • gLiquid coolin
  • gPower efficienc
  • yEnergy storag
  • eDistributed generatio
  • nModular data center
  • sAdvanced electrical system
  • sAI infrastructure optimizatio
  • nData-center automatio
  • nDigital twins and predictive analytic
  • sEstablish partnerships with technology companies, research organizations, and strategic customers

.9. Organization & Talen

  • tBuild an organization capable of supporting significant growth and increasing organizational complexity
  • .Recruit, develop, and retain high-caliber executives and functional leaders
  • .Establish clear organizational accountability and performance expectations
  • .Develop succession plans for key leadership positions
  • .Create a high-performance culture focused on growth, accountability, innovation, customer satisfaction, and operational excellence
  • .Ensure the organization has the commercial, technical, operational, and financial talent necessary to capitalize on the AI infrastructure opportunity

.10. Board & Shareholder Leadershi

  • pDevelop a highly effective relationship with the Board of Directors and/or private-equity sponsor
  • .Provide transparent reporting regarding financial performance, growth initiatives, strategic priorities, risks, and opportunities
  • .Develop and communicate a compelling investment thesis for continued growth
  • .Manage capital allocation and strategic investments to maximize shareholder value
  • .Lead the organization through potential recapitalization, acquisition, IPO, strategic sale, or other liquidity events where applicable


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