16 Data Driven jobs in Kuwait

We are looking for Senior Manager – Data Center Facility Management & Operations to drive the full lifecycle of our new data center—from design and construction to commissioning, and through to mission-critical live operations. Serve as the owner's representative during the build phase, embedding operational excellence into design. Post-handover, ensure the seamless daily management of all facility systems to maintain uptime, safety, and global compliance.

Core Responsibilities

• Lead the SPV and data center business plan, achieving alignment with corporate strategy while driving cost-efficiency and regulatory compliance.
• Promote operational excellence through continuous improvement initiatives and performance benchmarking.
• Ensure flawless daily operation of power, cooling, fire suppression, environmental controls, and security systems.
• Maintain 100% uptime, meet SLAs, and uphold HSE (Health, Safety & Environmental) best practices.
• Advocate for operational considerations during design and construction, reviewing technical specifications for maintainability and safety.
• Lead commissioning, acceptance testing, and handover processes against performance benchmarks.
• Act as a trusted liaison with clients, consultants, contractors, and internal leadership.
• Manage escalations proactively, validate operational reports, and drive service excellence.
• Oversee vendor and contractor performance, ensuring contractual compliance during upgrades, retrofits, and procurement.
• Optimize manpower and technical resources for cost-effective, high-quality service delivery.
• Implement process enhancements to boost reliability, efficiency, and sustainability.
• Lead risk assessments, business continuity planning, and audits, while aligning operations with international standards.

Qualifications & Experience

• Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Facilities Management, or related field (Master’s preferred).
• Data center certifications such as CDCMP, CDCP, CDCS, Uptime Institute Tier Specialist, or equivalent are highly valued.
• 12+ years in data center operations or critical facilities management, including at least 5 years in a senior leadership capacity.
• Proven expertise in managing mission-critical infrastructure to meet stringent SLA targets.
• Strong vendor management, contract negotiation, stakeholder engagement, and financial planning skills.
• Deep understanding of industry standards such as ISO 27001, ASHRAE, Uptime Institute, and familiarity with preventive maintenance and TCO‑driven practices.

• Analyzing complex data sets to provide insights and recommendations.
• Developing algorithms and statistical models to extract valuable information from data.
• Collaborating with cross-functional teams to understand business needs and deliver data-driven solutions.
• Presenting findings and recommendations to stakeholders clearly and concisely.
• Keeping up-to-date with advancements in data science and technology.

Requirements:

• Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.
• Proven experience in data analysis, statistical modeling, and machine learning techniques.
• Proficiency in programming languages such as Python, R, or SQL.
• Strong analytical and problem-solving skills.
• Excellent communication and presentation abilities.
• Ability to work collaboratively in a team environment.

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer