Warner Bros. Discovery · 2 weeks ago
Director, Data Science & Applied AI
Bellevue, WA
Full-time
Onsite
Director/Executive
$204K/yr - $378K/yr
10+ years expWarner Bros. Discovery is a leading company in media and entertainment, seeking a Director of Data Science & Applied AI to drive data-driven innovation. This role involves leading strategic initiatives in data science and AI, collaborating with cross-functional teams, and mentoring a high-performing team to enhance audience experiences and unlock business value.
AdvertisingBroadcastingDigital EntertainmentDigital MediaFilm ProductionMedia and EntertainmentNewsPublishing
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
Build, develop, and mentor a world-class data science and applied AI team, fostering a culture of excellence, experimentation, and continuous learning
Define and execute the roadmap for applied AI and data science projects, ensuring alignment with organizational objectives and business impact
Champion data-driven decision making and thought leadership, elevating the visibility and influence of the AI team across the enterprise
Establish and monitor performance metrics for teams and individuals, driving accountability and high-impact delivery
Identify, evaluate, and implement emerging technologies, algorithms, and methodologies to keep the organization at the forefront of AI innovation
Develop and execute the applied AI strategy in close partnership with executive leadership, influencing product and business roadmaps
Spearhead pilot programs and research initiatives in generative AI, large language models (LLMs), reinforcement learning, and other advanced fields
Drive thought leadership and represent the organization at industry events, conferences, and in AI communities
Partner with product management, engineering, and business teams to translate complex business problems into technical Data Science/ AI solutions
Collaborate on the integration of ML models into products and workflows, ensuring smooth end-to-end delivery from prototype to production
Act as a trusted advisor to executives and stakeholders on ML capabilities, project status, risks, and business impact
Drive the development and implementation of data governance, privacy, and security practices to ensure compliance with regulatory requirements
Facilitate the sharing of ML insights with broader company teams, providing transparency and fostering a data-driven culture
Define and track key performance indicators (KPIs) to measure the success of AI/ ML initiatives and models
Oversee the collection and analysis of model performance data, providing regular updates to leadership and stakeholders
Ensure that deployed models are continuously monitored, maintained, and updated to meet evolving business needs
Lead post-mortem analyses of model failures and actively drive improvements based on lessons learned
Utilize data to iterate and refine models to increase their accuracy and efficiency
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Data Science, Machine Learning, or a related field from a reputed institution
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
In-depth knowledge of data structures, software engineering principles, and system design
Experience with distributed computing and cloud technologies (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
Proficiency in programming languages such as Python, Java, or Scala, and familiarity with ML frameworks like TensorFlow, PyTorch, or Keras
Preferred
Master's degree or PhD preferred
Benefits
Health insurance coverage
An employee wellness program
Life and disability insurance
A retirement savings plan
Paid holidays and sick time
Vacation
Company
Warner Bros. Discovery
Warner Bros.
10001+ employees
H1B Sponsorship
Warner Bros. Discovery has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (32)
2024 (34)
2023 (47)
2022 (72)
2021 (82)
2020 (30)
Funding
Current Stage
Public CompanyTotal Funding
$17.5BKey Investors
JP Morgan
2025-12-05Acquired
2025-06-09Post Ipo Debt· $17.5B
2005-07-15IPO
Leadership Team
David Zaslav
President and CEO
Mark Thompson
CEO
Recent News
2026-01-09
The Journal Record
2026-01-09
Company data provided by crunchbase