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Senior Meta Data Center Jobs in Delaware (NOW HIRING)

ABB

Data Center CoE - Field Service Technician

DE · On-site

While on the road supporting our Data Center Services, you will execute service work of medium to ... Works with Site Manager and Sr. Field Service Technicians to identify improvement needs and ...

Mantis Innovation

Senior Project Engineer

Wilmington, DE · On-site

$96K - $125K/yr

... data center optimization, and EV charging; lighting/LED retrofits, HVAC/mechanical systems, and BMS/BAS improvements and implementation. The Sr. Project Engineer helps clients identify, design, and ...

Mantis Innovation

Senior Project Engineer

Wilmington, DE · On-site

$120K - $150K/yr

... data center optimization, and EV charging; lighting/LED retrofits, HVAC/mechanical systems, and BMS/BAS improvements and implementation. The Sr. Project Engineer helps clients identify, design, and ...

Mantis Innovation

Senior Project Engineer

Wilmington, DE · On-site

$96K - $125K/yr

... data center optimization, and EV charging; lighting/LED retrofits, HVAC/mechanical systems, and BMS/BAS improvements and implementation. The Sr. Project Engineer helps clients identify, design, and ...

Monitise

Senior Technical Program Manager

Wilmington, DE · On-site

$150K - $240K/yr

Job Title Senior Technical Program Manager About Your Role As a Senior Technical Program Manager ... data center consolidation programs * 5+ years of experience leading cross-functional, matrixed ...

New

Mwe

Senior Manager, AI & Analytics

Wilmington, DE · On-site

Lead the Reporting, Data & AI Center of Excellence - establishing strategy, governance, operating standards, and a multi-year roadmap for the function * Develop and maintain a prioritized portfolio ...

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Senior Meta Data Center information

What is a senior meta data center professional?

A Senior Meta Data Center professional is responsible for overseeing the operations, maintenance, and management of Meta's (formerly Facebook) large-scale data center facilities. These individuals play a critical role in ensuring the infrastructure runs efficiently, securely, and reliably to support Meta's global platforms. Their duties often include supervising teams, implementing best practices for energy efficiency, managing equipment lifecycles, and coordinating with other technical departments. Senior Meta Data Center professionals typically have years of experience in data center management, a strong technical background, and leadership skills. Their work is essential to maintaining the uptime and performance of Meta's online services.

What is the difference between Senior Meta Data Center vs Data Center Technician?

AspectSenior Meta Data CenterData Center Technician
CredentialsRelevant certifications (e.g., Cisco, CompTIA), experience in data center managementEntry to mid-level certifications, technical training in hardware and network setup
Work EnvironmentOversees data center operations, manages teams, strategic planningPerforms hardware installation, troubleshooting, and maintenance
Industry UsageUsed in large-scale data centers, cloud providers, enterprise ITCommon in data center facilities, IT support roles

The Senior Meta Data Center role involves overseeing data center operations, managing teams, and strategic planning, requiring advanced certifications and experience. In contrast, Data Center Technicians focus on hardware setup, troubleshooting, and maintenance tasks. While both roles are essential in data center environments, the senior position emphasizes leadership and management, whereas technicians handle technical execution.

What are some common challenges faced by a senior meta data center professional, and how can they be addressed?

Senior Meta Data Center professionals often encounter challenges related to managing large-scale, mission-critical infrastructure, including ensuring uptime, optimizing energy efficiency, and coordinating cross-functional teams. Managing rapid technology changes and scaling operations to meet Meta's global demands can be demanding. These challenges can be addressed by staying updated on industry best practices, developing strong project management skills, and fostering effective communication with engineering and operations teams to quickly resolve issues and implement improvements.

What are the key skills and qualifications needed to thrive as a senior meta data center professional?

To thrive as a Senior Data Center Engineer at Meta, you need deep expertise in data center operations, network architecture, and systems administration, often supported by a degree in computer science or related field and extensive industry experience. Familiarity with tools like Linux, monitoring platforms, automated deployment systems, and relevant certifications (such as Cisco or CompTIA) is highly valued. Strong problem-solving, leadership, and effective communication skills help you manage incidents, lead teams, and interact with diverse stakeholders. These skills and qualities are crucial for ensuring uptime, operational efficiency, and the reliability of Meta’s large-scale infrastructure.
What are the most commonly searched types of Meta Data Center jobs in Delaware? The most popular types of Meta Data Center jobs in Delaware are:
What are popular job titles related to Senior Meta Data Center jobs in Delaware? For Senior Meta Data Center jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Senior Meta Data Center jobs in Delaware look for? The top searched job categories for Senior Meta Data Center jobs in Delaware are:
What cities in Delaware are hiring for Senior Meta Data Center jobs? Cities in Delaware with the most Senior Meta Data Center job openings:
Senior Meta Data Center jobs near you
Infographic showing various Senior Meta Data Center job openings in Delaware as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Senior Director of Data Science (Remote)

Forbes Advisor

Wilmington, DE • On-site, Remote

Full-time

Posted 29 days ago

Job description

At Forbes Advisor, our mission is to help readers turn their aspirations into reality. We arm people with trusted advice and guidance so they can make informed decisions they feel confident in and get back to doing the things they care about most.
We are an experienced team of industry experts dedicated to helping readers make smart decisions and choose the right products with ease. Forbes Advisor boasts decades of experience across dozens of geographies and teams, including Content, SEO, Business Intelligence, Finance, HR, Marketing, Production, Technology and Sales. The team brings rich industry knowledge to Forbes Advisor's global coverage of consumer credit, debt, health, home improvement, banking, investing, credit cards, small business, education, insurance, loans, real estate and travel.
Our Data & Analytics organisation builds the products, platforms and intelligence that power every marketing, product and commercial decision across the business. We're looking for a Data Science leader who believes machine learning only creates value when it changes business decisions.
This is an opportunity to build and lead a commercially driven Data Science function that delivers measurable improvements in customer acquisition, marketing performance and long-term business growth.
You'll lead a growing team of Data Scientists while partnering closely with Engineering, Analytics, Product and Commercial teams to ensure predictive models become trusted, production-ready products that drive measurable commercial outcomes. As we continue investing in first-party data, AI, machine learning and advanced marketing measurement, we're looking for an experienced Data Science leader to help shape the next phase of our commercial Data Science capability.
Responsibilties:
  • Commercial Data Science: Lead the strategy and delivery of predictive models that improve customer acquisition, marketing performance and long-term commercial value. You'll shape capabilities including lifetime value modelling, propensity modelling, customer segmentation, forecasting and value-based bidding, ensuring every model is linked to measurable business outcomes.
  • Marketing Science & Decision Science: Partner with Marketing, Product and Commercial teams to apply Data Science to real business problems. You'll help define how predictive analytics, experimentation and AI improve campaign performance, customer understanding and strategic decision making across platforms including Google and Meta.
  • Production Data Science: Work closely with Engineering and ML Ops to ensure models become reliable, production-ready products rather than one-off analyses. You'll champion reproducible experimentation, scalable deployment, model monitoring, retraining strategies and continuous improvement throughout the model lifecycle.
  • Leadership & Stakeholder Management: Lead and develop a growing team of Data Scientists while building trusted relationships across the business. You'll translate complex modelling into clear commercial recommendations, influence senior stakeholders through evidence, and help establish Data Science as a trusted driver of business strategy and commercial growth.
  • Innovation & Industry Leadership: Represent Forbes in strategic conversations with technology partners including Google and Meta while staying connected to advances in AI, machine learning and marketing science. You'll evaluate emerging technologies, bring new ideas into the organisation and help ensure our Data Science capability remains commercially relevant and technically leading.

Qualifications:
  • Experience leading commercial Data Science, Marketing Science or Decision Science teams.
  • Strong expertise in predictive analytics, customer analytics, machine learning and statistical modelling.
  • Experience applying Data Science to marketing performance, customer acquisition, lifetime value or value-based bidding.
  • Experience productionising machine learning solutions within modern cloud environments and working closely with Engineering and ML Ops teams.
  • Strong understanding of SQL, Python and modern machine learning frameworks.
  • Experience working with Google Ads, Meta or other major advertising platforms.
  • Excellent stakeholder management and communication skills, with the ability to influence both technical and commercial audiences.
  • Experience building and developing high-performing Data Science teams.
  • Strong commercial judgement, balancing technical excellence with measurable business impact.
  • A pragmatic approach to AI, applying emerging technologies where they create genuine commercial value.

Nice to Have
  • Experience within affiliate marketing, digital publishing or lead-generation businesses.
  • Experience working in financial services, insurance or regulated industries.
  • Experience working directly with Google or Meta Data Science teams.
  • Experience with attribution modelling and marketing measurement.
  • Experience building optimisation algorithms for DSPs or advertising platforms.
  • Experience with causal inference, experimentation frameworks or incrementality testing.
  • Experience forecasting marketing or commercial performance.
  • Experience with Vertex AI or equivalent cloud-based machine learning platforms.

Forbes Advisor provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
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