Surviving (and Thriving) as a Data Professional in the Age of AI Agents
Data scientists, analysts and engineers are all feeling the pressure — but what's actually changing, and what's hype? This session brings us together to share real experiences of integrating LLMs and agents into data workflows, honestly assess which skills still matter, and tackle the uncomfortable question: are we building the tools that replace us?
I am a Data Science Leader dedicated to turning complex data into commercial momentum. Over the past 8+ years, I’ve partnered with executive teams to shape data strategy and integrate cross-functional data at scale for multi-million-dollar tech product companies. I bridge the gap between technical execution and business value, ensuring data isn’t just collected, but leveraged for sustainable growth.
Beyond building the high-performing analytics teams that power strategic decisions, I am deeply invested in growing the next generation of talent, actively mentoring professionals looking to build meaningful careers in data science.
Most recently, my focus has been exploring the intersection of AI and data operations, specifically how GenAI are reshaping data teams, redefining technical roles and shifting what it means to be a modern data professional.