Chief Data Officer

EyeSpy Recruitment - iGaming Specialists; United Arab Emirates; Remote; AED 250,000 - 350,000; Full time

Job summary

A leading iGaming company is seeking a Chief Data Officer to oversee data-driven initiatives and lead a team of data professionals. This role involves developing a comprehensive data strategy, managing machine learning models, and ensuring data governance. The ideal candidate will have extensive experience in data management and a strong leadership background. This position offers the opportunity for global travel and significant impact on the company's growth plans.

Qualifications

• 10+ years of experience in data management, analytics, or related field.
• At least 5 years in a senior leadership role overseeing data strategy.

Responsibilities

• Lead the development and execution of a comprehensive data strategy.
• Collaborate with business leaders to identify high-impact use cases for machine learning.
• Manage a team of data architects, engineers, and scientists.

Skills

Leadership & Management

Data Architecture & ML Models

Communication

Organizational Skills & Attention to Detail

High Standards Under Pressure

Education

Bachelor's degree in Computer Science

Master's or PhD

Tools

AWS

Azure

GCP

Hadoop

Spark

TensorFlow

PyTorch

scikit-learn

Job description

Chief Data Officer (CDO)

Location remote in one of the following countries: Isle of Man, Gibraltar, Malta, Romania, Bulgaria or onsite in Dubai

Introduction:

One of the world's leading iGaming companies is strengthening their executive team with the hire of a Chief Data Officer - this is an amazing opportunity to join and be part of some amazing growth plans. iGaming experience is essential for this role.

The Role:

We are seeking an experienced and strategic Chief Data Officer (CDO) to lead our data-driven initiatives. As the CDO, you will oversee data architecture, data governance, and the development and deployment of machine learning models across the organization. You will play a critical role in transforming data into valuable insights and driving strategic decision-making. The ideal candidate will have a deep understanding of data architecture, data management, and advanced analytics techniques, alongside a proven track record in leading machine learning initiatives.

Key Responsibilities:

• Lead the development and execution of a comprehensive data strategy aligned with the organization's business goals and objectives.
• Collaborate with business leaders to identify high-impact use cases for machine learning and advanced analytics.
• Ensure our data strategy, use of AI tools, and data science translates into increases in core metrics and results in significant competitive advantage.
• Oversee the design, implementation, and continuous improvement of the data architecture, ensuring scalability, performance, and reliability of data systems.
• Lead and manage a team of data architects, data engineers, and data scientists to support various business functions across the organization.
• Lead the development and deployment of machine learning models, ensuring they are scalable, reliable, and deliver actionable business insights.
• Manage the end-to-end machine learning pipeline, including data preprocessing, model training, model validation, and model monitoring.
• Ensure that machine learning models are regularly evaluated for performance and updated as necessary to adapt to changing business conditions.

Key Skills:

• Leadership & Management: Strong leader with experience in managing sizable teams, able to hire, coach, and inspire diverse teams.
• Data Architecture & ML Models: Expertise in building and deploying machine learning models and pipelines using industry-standard tools, programming languages, and platforms.
• Communication: Excellent communicator, able to convey key points concisely, make compelling arguments, and convince others.
• Organizational Skills & Attention to Detail: Meticulous, organized, and detail-oriented.
• High Standards Under Pressure: Ambitious, holding oneself to high standards, and thriving in a dynamic, high-energy environment.

Requirements:

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; Master's or PhD preferred.
• 10+ years of experience in data management, analytics, or a related field, with at least 5 years in a senior leadership role overseeing data strategy, architecture, and machine learning initiatives.
• Strong background in data architecture, including experience with data warehousing, cloud-based platforms (e.g., AWS, Azure, GCP), and big data technologies (e.g., Hadoop, Spark).
• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and data processing technologies.
• Proven experience in designing, implementing, and scaling machine learning models and data pipelines in a production environment.
• Strong understanding of data governance, privacy laws, and data security best practices.
• Experience managing cross-functional teams and driving collaboration across technical and non-technical departments.
• Excellent English skills a must.

If you are a dynamic and experienced Chief Data Officer looking for an exciting opportunity with global travel, we would love to hear from you! Apply now to join our team and help us achieve our ambitious expansion goals