Mallika
Shah
Engineering Leader at Warner Bros. Discovery
"Creative AI-Native Leadership: Scaling Innovation, Shaping Culture"
"Creative AI-Native Leadership: Scaling Innovation, Shaping Culture"
Tue May 12 - 7:20 PM EDT/New York (See in local time)
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05/12/2026 7:20 PM
05/12/2026 07:30 PM
America/New_York
#WTGC2026
"Creative AI-Native Leadership: Scaling Innovation, Shaping Culture"
#WTGC2026
"Creative AI-Native Leadership: Scaling Innovation, Shaping Culture"
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"Creative AI-Native Leadership: Scaling Innovation, Shaping Culture"
"Creative AI-Native Leadership: Scaling Innovation, Shaping Culture"
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Session: Creative AI-Native Leadership: Scaling Innovation, Shaping Culture
AI is rapidly transforming how we build software, collaborate, and make decisions. From code generation to AI agents and automated workflows, intelligent systems are reshaping the modern engineering landscape. As the tools become more capable, leaders shaping the future of engineering organizations have an opportunity to design how humans and AI collaborate and innovate. They can define how AI is adopted responsibly and effectively while helping their teams build the skills and confidence needed to participate in this transformation and integrate AI into their daily workflows.This talk introduces Creative AI-Native Leadership, a practical approach for leading teams in human-AI collaborative environments by shaping work environments that nurture creativity, foster innovation, and accelerate AI-driven technology adoption. We will explore a leadership framework for scaling AI innovation from experimentation to trusted production systems while maintaining engineering rigor, accountability, and trust.
Drawing from own real experience leading ML and AI initiatives, guiding teams to build some of org's first ML-based systems, AI-powered agents and workflows, scaling from experimentation to reliable production systems, the talk will highlight how to balance delivery with innovation, maintain trust in AI systems, and empower teams to confidently experiment with emerging technologies.
Attendees will leave inspired to view AI-native creativity, empathy, critical thinking, and principled decision-making as strategic differentiators along with actionable strategies for leading cultural transformation and scaling AI-driven innovation in their organizations.
Key Takeaways
- Design Human-AI Collaboration: Actionable strategies to design workflows, standards, and team practices that enable effective and responsible collaboration between humans and AI
- Build a Culture that Enables AI Adoption: How to foster a culture that builds the skills and confidence needed to participate in technological transformation in the AI-era
- Scale from Experimentation to Reliable Production Systems: Practical framework(s) to balance delivery with innovation and scale from experimentation to production while maintaining engineering rigor, accountability and trust
- Leverage Human Strengths as a Strategic Advantage: Discover how creativity, empathy, critical thinking and principled decision-making become differentiators in scaling innovation and shaping culture in AI-driven organizations
Bio
Mallika Shah is a high-impact engineering leader with several years of experience leading large-scale technology initiatives across investment banking, financial data services, social media advertising, and media. With a Master’s degree in Computer Science and a track record of architecting robust technical frameworks and systems at organizations including Goldman Sachs, S&P Global, Twitter, and Warner Bros. Discovery, she combines deep technical expertise, executional rigor, and strategic leadership to drive innovation and engineering excellence in complex enterprise ecosystems.Mallika’s work spans pioneering, building, and spearheading greenfield initiatives and defining strategy and execution to solve complex challenges in data and platforms, distributed systems, public cloud migration, privacy, scalability, API design, machine learning and AI. Currently, at Warner Bros. Discovery, amongst other initiatives, she leads AI-driven workflows and machine learning innovation efforts, including guiding teams in building the organization’s first ML systems, AI agents, and AI-powered workflows from experimentation to reliable production systems.
As a speaker, Mallika has shared her technical expertise at industry and engineering forums at Twitter and Google. At Warner Bros. she regularly speaks at organization-wide forums on emerging technologies, ML and AI adoption.
Having grown from engineer to engineering leader through multiple waves of technological change, Mallika brings a perspective shaped by steering teams through both organizational and technological transformation. As an AI ambassador, she helps teams adopt emerging technologies and AI-native approaches responsibly by maintaining engineering rigor, trust, and high standards. She is passionate about empowering engineers, leaders and organizations to leverage technical creativity, empathy, and principled decision-making as strategic advantages in the age of AI.
