Sr. Analyst AI Research and Innovation

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Your New Role:

As a Senior Analyst – AI Research and Innovation for one of the world’s largest Media & Entertainment companies, you will be part of a dynamic team leading the charge in pioneering AI-driven solutions that transform the way content is created, distributed, and consumed. This role offers a unique opportunity to contribute to groundbreaking research, solve complex challenges, and drive innovation across various facets of the business.

You will play a key role in identifying emerging AI technologies, conducting in-depth research, and developing innovative solutions that align with business objectives. Your work will directly impact how audiences engage with content, enhancing personalization, efficiency, and scalability in a creative, fast-paced industry. If you are passionate about leveraging AI to redefine the future of entertainment, this role is your platform to make a difference.

If you thrive in a dynamic, fast-paced environment where technology meets creativity, this is your chance to make a lasting impact.

AI Research and Development

• Conduct research on cutting-edge AI technologies, methodologies, and tools to address real-world business challenges.
• Collaborate with cross-functional teams to identify opportunities where AI can drive innovation and improve efficiency.
• Prototype and experiment with AI/ML models to validate hypotheses and demonstrate proof-of-concept solutions.
• Stay abreast of industry trends and emerging AI capabilities, evaluating their applicability to the media and entertainment landscape.
• Publish findings in internal and external forums, contributing to the organization’s thought leadership in AI.

2. Innovation and Solution Design

• Work closely with stakeholders to understand business needs and propose innovative AI-driven solutions.
• Develop algorithms and models for various applications, including content personalization, recommendation engines, and natural language processing.
• Optimize existing AI solutions for performance, scalability, and reliability.
• Collaborate with engineering teams to translate research outputs into deployable AI products and services.
• Explore and integrate advanced techniques such as generative AI, reinforcement learning, and deep learning into business solutions.

3. Data Analysis and Insights

• Analyze large datasets to extract meaningful insights that drive decision-making and support AI initiatives.
• Leverage data visualization techniques to present findings to technical and non-technical audiences.
• Ensure data integrity, privacy, and compliance with relevant regulations in all research activities.
• Develop and maintain performance metrics for AI models to assess their business impact.
• Partner with data engineering teams to build and refine data pipelines for AI experimentation.

4. Collaboration and Stakeholder Engagement

• Collaborate with global teams, including data scientists, engineers, product managers, and business leaders.
• Act as a bridge between research and implementation teams to ensure seamless execution of AI projects.
• Communicate research outcomes and project updates to key stakeholders, ensuring alignment with strategic goals.
• Represent the company at industry conferences, academic institutions, and AI research forums.
• Build relationships with external partners, startups, and academic institutions to foster innovation.

5. AI Ethics and Responsible Use

• Advocate for the ethical and responsible use of AI across all projects, ensuring adherence to the company’s AI governance policies.
• Identify and mitigate risks related to AI bias, fairness, and transparency.
• Promote explainability and interpretability of AI models for stakeholders and end-users.
• Ensure compliance with global AI and data privacy regulations, such as GDPR and CCPA.