Chief Data Analytics Officer
1 month ago
We are seeking a highly skilled and experienced Data and AI leader to join our team at Williams Racing. As a key member of our organization, you will be responsible for driving the development and implementation of our data and AI strategy, ensuring that we leverage advanced analytics and machine learning to enhance decision-making, performance, and operational efficiency.
Key Responsibilities:- Develop and execute a comprehensive data and AI strategy that aligns with our business goals and objectives.
- Lead the implementation and optimization of our data platforms, ensuring they efficiently support AI, machine learning, and analytics capabilities across all departments.
- Oversee the execution and scaling of our pre-defined AI strategy, ensuring that AI models, algorithms, and processes are deployed effectively across key areas such as vehicle development, race performance analysis, and decision-making support.
- Manage the development, refinement, and deployment of cutting-edge AI models and pipelines across various applications, focusing on ensuring these technologies contribute to competitive advantage in areas such as race strategy, vehicle dynamics performance, and operational decision-making.
- Lead efforts to apply AI for performance optimization across the business, including leveraging machine learning for real-time simulations, anomaly detection, and data-driven optimization of vehicle dynamics.
- Work closely with technical and business teams to ensure AI solutions are effectively integrated into workflows, supporting everything from vehicle design to race simulations.
- Collaborate on data projects with business units to ensure successful execution of critical data projects that have already been scoped.
- Manage and mentor a team of AI and Data specialists, data scientists, and engineers, providing guidance to ensure the team delivers impactful results while fostering a culture of high performance, innovation, and adaptability in the competitive F1 environment.
- Proven experience in developing and deploying AI/machine learning models and optimization algorithms across multiple domains.
- Experience building and scaling data platforms that support AI, data engineering, and analytics projects across an organization.
- Expertise in defining and implementing data strategy, governance, and data management best practices.
- Experience with building and managing machine learning pipelines for various data types (e.g., image, video, and structured data).
- Strong knowledge of AI and data technologies including Python (TensorFlow, PyTorch, Scikit-learn, etc.), experience in C++ would be beneficial.
- The ability to present complex data and AI insights in a concise, clear manner, making data understandable and actionable to non-technical stakeholders.
- Demonstrated ability to manage multiple projects, prioritize effectively, and deliver results in a fast-paced environment.
- A competitive holiday package.
- Staff events/open days.
- A subsidised restaurant on site.
- Various car schemes.
- An on-site gym (open 24 hours a day).
- Variety of fitness classes including outdoors bootcamps, pilates and yoga free for all staff and contractors to use.
- Free onsite parking.
- Large open green spaces to unwind during breaks.
We are an equal opportunity employer that values diversity and inclusion.
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