Head of Data and Analytics

The Head of Data and Analytics will lead the development and implementation of data and analytics strategy for our organization. This individual will be responsible for the management and maintenance of data intelligence assets and platforms, as well as the development and implementation of sophisticated data-driven decision-making processes, products, and services. Finally the Head of Data and Analytics will also be responsible for leading a team of expert data engineers, statistical analysts, and data scientists in the design and execution of highly demanding, data-driven initiatives.

We are a leading technology company that values innovation, creativity, and diversity. Our company culture is focused on fostering an environment where our employees can thrive and reach their full potential. We offer a competitive salary, excellent benefits, flexible work environment, and tremendous opportunities for career growth. If you are passionate about leading the industry with the use of data and advance analytics to drive tangible results, we encourage you to apply for this exciting opportunity.

Key Responsibilities

  • Develop and implement data and analytics strategy.

  • Manage and maintain data assets and platforms.

  • Develop and implement data-driven decision-making processes.

  • Lead a team of data engineers, statistical data analysts and data scientists.

  • Design and execute complex data-driven initiatives.

  • Communicate findings and recommendations to key stakeholders.

  • Ensure compliance with data privacy and info security regulations.

Qualifications

  • Advance degree in a related field (e.g., statistics, computer science); Ph.D. preferred.

  • Expertise in cloud computing, machine learning, and artificial intelligence a plus.

  • Minimum of 10 years of experience in data and advance analytics.

  • Experience leading a team of data analysts and data scientists.

  • Strong understanding of data privacy and security regulations.

  • Strong problem-solving and analytical decision making skills.

  • Expertise with industry data and analytics tools (e.g., R, Python, SAS, SQL).

  • Strong communication, presentation, and interpersonal skills.