Data Strategy Director
5 days ago
Williams Racing is a pioneering force in Formula One, boasting 16 FIA World Championship titles since its inception in 1977. We're on the cusp of an exciting era under new ownership, driven by relentless innovation and sustainable performance.
We seek an exceptional Head of Data & AI to spearhead our data-driven transformation, leveraging cutting-edge technologies to enhance decision-making, performance, and operational efficiency. As a key leader, you'll develop and execute our data and AI strategy, harnessing advanced machine learning models and optimization algorithms to unlock actionable insights.
This strategic role involves collaborating across departments to ensure a cohesive data strategy and AI-driven approach is embedded throughout the organization. You'll oversee the creation and evolution of our data platforms, supporting business groups in data projects, and building scalable AI solutions that can be used across the organization.
Data Platform Execution: Lead the implementation and continuous optimization of our defined data platform, ensuring it efficiently supports AI, machine learning, and analytics capabilities across all departments.
AI Strategy Implementation and Scaling: Oversee the execution and scaling of our pre-defined AI strategy, deploying AI models, algorithms, and processes effectively across key areas such as vehicle development, race performance analysis, and decision-making support.
AI and Machine Learning Leadership: 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.
Data-Driven Optimization: Lead efforts to apply AI for performance optimization across the business, leveraging machine learning for real-time simulations, anomaly detection, and data-driven optimization of vehicle dynamics.
Cross-Functional AI Integration: Work closely with technical and business teams to ensure AI solutions are effectively integrated into workflows, supporting everything from vehicle design to race simulations.
To succeed in this role, you'll need 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 is also essential.
You should possess expertise in defining and implementing data strategy, governance, and data management best practices. Strong knowledge of AI and data technologies, including Python (TensorFlow, PyTorch, Scikit-learn, etc.), is required. C++ experience 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, is crucial. Demonstrated ability to manage multiple projects, prioritize effectively, and deliver results in a fast-paced environment is also necessary.
We offer a highly competitive salary of $250,000 - $350,000 per year, commensurate with experience, as well as a comprehensive benefits package.
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