Warner Bros. Discovery is looking to drive the next wave of data-driven innovation in the Media & Entertainment industry by leading the strategic direction, execution, and scaling of enterprise-wide data science and applied AI initiatives to enhance audience experiences, streamline operations, and unlock business value.
Requirements
- 10+ years of experience in the field of machine learning and AI, with at least 8 years in a leadership or managerial role.
- Previous experience leading and scaling ML engineering teams and delivering large-scale ML projects in a fast-paced environment.
- Experience working in the Media & Entertainment industry or related sectors, with knowledge of data-driven content recommendations, personalization, and automation.
- Expertise in designing, building, and deploying production-grade machine learning systems at scale.
- Experience in leading cross-functional teams to deliver end-to-end machine learning solutions, from conceptualization to deployment and optimization.
- Strong expertise in machine learning algorithms, deep learning, reinforcement learning, and statistical modeling techniques.
- Experience with distributed computing and cloud technologies (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
Responsibilities
- Oversee the end-to-end lifecycle of data science and AI solutions—from problem framing, exploratory analysis, and modeling to deployment, monitoring, and iteration.
- Lead the development and deployment of advanced analytics, machine learning, NLP, computer vision, and generative AI models that address complex business challenges.
- Ensure the creation of robust, scalable, and production-ready AI pipelines, leveraging cloud-native, microservices-based architectures.
- Embed best practices in MLOps, model governance, and responsible AI to ensure reliability, fairness, transparency, and compliance.
- Define and execute the roadmap for applied AI and data science projects, ensuring alignment with organizational objectives and business impact.
- Identify, evaluate, and implement emerging technologies, algorithms, and methodologies to keep the organization at the forefront of AI innovation.
- Partner with product management, engineering, and business teams to translate complex business problems into technical Data Science/ AI solutions.
Other
- Drive the next wave of data-driven innovation in the Media & Entertainment industry.
- Lead and inspire a best-in-class data science and applied AI team, bringing deep technical expertise, a strong business mindset, and the ability to solve complex, high-value problems at scale.
- Build, develop, and mentor a world-class data science and applied AI team, fostering a culture of excellence, experimentation, and continuous learning.
- Champion data-driven decision making and thought leadership, elevating the visibility and influence of the AI team across the enterprise.
- Partner with cross-functional teams—including Data Scientists, ML Engineers, Software Engineers, and Business Leaders—to deliver transformative Data Science & AI-powered solutions that enhance audience experiences, streamline operations, and unlock business value.
