Lead - Responsible AI (RAI)

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 the
Lead - Responsible AI (RAI)

, you will spearhead efforts to ensure that the development, deployment, and use of artificial intelligence within our global Media & Entertainment company adheres to the highest standards of ethics, fairness, transparency, and accountability. This is a pivotal role in shaping AI governance frameworks and fostering trust in the transformative power of AI across diverse applications, including content production, distribution, personalization, and audience engagement.

Based in India, you will work closely with cross-functional teams, including AI researchers, engineers, product leaders, legal experts, and business stakeholders, to embed responsible AI practices across the company. Your efforts will directly contribute to ensuring that AI solutions are inclusive, unbiased, and aligned with societal and regulatory expectations.

This is your opportunity to lead a critical initiative in a fast-paced, dynamic industry where your

expertise

in ethical AI will influence millions of viewers worldwide. If you are passionate about the intersection of technology, ethics, and innovation, this role is for you.

1. Strategy and Leadership

• Develop and lead the company's overarching Responsible AI (RAI) strategy, ensuring alignment with business

objectives

and societal expectations.

• Provide

expert advice to executive leadership on emerging risks, trends, and opportunities in Responsible AI.

• Drive a culture of ethical AI awareness across the organization through training, workshops, and communication.

2. AI Governance and Compliance

• Establish and implement governance frameworks for AI/ML development and deployment, ensuring alignment with global regulatory and industry standards.

• Define and enforce policies for fairness, transparency, accountability, and privacy in AI solutions.

• Conduct regular audits and assessments of AI systems to

identify

and mitigate ethical, social, and legal risks.

• Develop guidelines and tools for explainable AI to enhance trust and understanding of AI systems.

• Collaborate with legal and compliance teams to ensure adherence to AI-related regulatory requirements, such as GDPR and other global privacy laws.

3. Risk Assessment and Mitigation

• Identify

potential risks in AI/ML systems, including biases, privacy issues, and unintended consequences.

• Design and implement risk assessment protocols to proactively address issues before deployment.

• Work with technical teams to improve robustness and resilience of AI systems against adversarial attacks.

• Ensure AI models are interpretable and accessible to stakeholders, enhancing their accountability and usability.

• Develop incident response plans for AI-related failures or ethical concerns.

4. Collaboration and Stakeholder Engagement

• Partner with AI engineering, product, and business teams to embed responsible AI principles into the entire development lifecycle.

• Collaborate with external organizations, academia, and industry bodies to stay ahead of emerging trends and best practices in Responsible AI.

• Act as a bridge between technical and non-technical teams, ensuring responsible AI principles are well understood and implemented.

• Build and

maintain

relationships with external audit and certification bodies for responsible AI.

• Advocate for the organization's Responsible AI initiatives through strategic partnerships and community engagement.

5. Innovation and Continuous Improvement

• Stay abreast of the latest research and innovations in ethical AI, fairness, and governance.

• Promote the adoption of

state-of-the-art

tools, techniques, and methodologies for responsible AI.

• Drive innovation by encouraging cross-disciplinary research and exploration of

new approaches

to ethical AI.

• Monitor and evaluate the effectiveness of Responsible AI programs, iterating to address gaps and improve outcomes.

• Publish research papers, case studies, and white papers to

establish

the company as a leader in Responsible AI.

Qualifications & Experiences:

Academic Qualifications:

• Master's or Ph.D. in Computer Science, Data Science, Ethics, Law, or a related field, with a focus on AI/ML, ethics, or governance.

• Certifications or specialized training in Responsible AI, AI ethics, or governance frameworks are highly desirable.

Professional Experience:

• 8+ years

of experience in AI/ML, with at least
3+ years

focused on ethical AI, governance, or risk management.

• Proven

track record

in developing and implementing AI governance frameworks in large-scale organizations, preferably in the Media & Entertainment or Technology sectors.

• Experience with auditing AI/ML systems for bias, fairness, and compliance with global standards.

• Expertise

in designing explainable AI systems and deploying tools to address ethical challenges.

• Hands-on experience with machine learning tools, frameworks, and platforms (e.g., TensorFlow,

PyTorch

, AWS AI).

Technical Skills:

• Strong understanding of AI/ML technologies, fairness metrics, and interpretability techniques.

• Familiarity with privacy-enhancing technologies (e.g., differential privacy, federated learning).

• Proficiency

in programming languages like Python and knowledge of AI ethics libraries such as Aequitas or

Fairlearn

.

• Knowledge of global AI/ML regulations and standards (e.g., EU AI Act, GDPR).

• Experience in designing tools for algorithmic transparency and accountability.

Other Skills:

• Exceptional leadership and communication skills with the ability to influence stakeholders at all levels.

• Strong analytical and problem-solving capabilities, with a passion for innovation and ethical AI.

• Ability to work effectively in cross-functional and multicultural teams.

• Strong public speaking and presentation skills to

represent

the company on global platforms.

• A deep commitment to the principles of fairness, transparency, and inclusivity.

How We Get Things Done…

This last bit is probably the most important Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at

along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law.

If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our
accessibility page
for instructions to submit your request.