Bhumika
Shah
AI Researcher and Practitioner at University of the Cumberlands
"Thriving in AI-Native Data Teams: How the Future of Work Is Being Rewritten"
"Thriving in AI-Native Data Teams: How the Future of Work Is Being Rewritten"
Wed May 13 - 1:10 PM EDT/New York (See in local time)
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05/13/2026 1:10 PM
05/13/2026 01:30 PM
America/New_York
#WTGC2026
"Thriving in AI-Native Data Teams: How the Future of Work Is Being Rewritten"
#WTGC2026
"Thriving in AI-Native Data Teams: How the Future of Work Is Being Rewritten"
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"Thriving in AI-Native Data Teams: How the Future of Work Is Being Rewritten"
"Thriving in AI-Native Data Teams: How the Future of Work Is Being Rewritten"
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Session: Thriving in AI-Native Data Teams: How the Future of Work Is Being Rewritten
Artificial Intelligence is no longer just an add-on for analytics—it is becoming a true teammate inside modern data workflows. From AI-assisted SQL and automated data quality checks to predictive root-cause analysis, data teams are rapidly shifting from manual, pipeline-focused work to AI-embedded, insight-driven operations. This session explores what it really means to become an AI-native data team and how this transformation is reshaping culture, collaboration, and decision-making.Drawing on real-world enterprise experience and research on data team culture, this talk highlights the shift from “bring me the data” to “bring me the answer—and show me why,” where human and machine reasoning work together. We will examine how AI is changing team dynamics, enabling faster alignment, smoother collaboration, and more proactive decision-making, while also raising critical questions around trust, explainability, bias, and accountability.
The session also looks ahead at how data roles are evolving—from data engineers to AI Ops, analysts to insight leaders, and data scientists to governance and stewardship—along with emerging hybrid roles such as AI workflow designers, LLM reliability engineers, and AI data stewards.
Participants will leave with practical guidance to:
-Understand how data team roles will evolve over the next few years and how to prepare for emerging hybrid roles.
-Build trust in AI through transparency, human-in-the-loop practices, and continuous monitoring.
-Develop skills that blend engineering, analytics, and AI to stay future-ready.
-Put governance guardrails in place to balance rapid innovation with responsible and ethical AI use.
-Measure the real ROI of AI in productivity, quality, and decision impact.
This forward-looking session is designed for engineers, analysts, product owners, managers, and tech leaders who want to redesign their culture and workflows so that AI becomes a sustainable, long-term advantage—not just another disruptive tool.
Key Takeaways
- Participants will understand what it truly means to become an AI native data team and how this shift is changing everyday workflows and decision making.
- They will learn how data team roles are evolving and what skills are needed to prepare for emerging hybrid roles that blend engineering, analytics, and AI.
- Attendees will gain practical strategies to build trust in AI powered systems through transparency, explainability, and human in the loop practices.
- Participants will leave with a clear roadmap to adapt their team culture so AI becomes a sustainable advantage for productivity, collaboration, and business impact.
Bio
Bhumika Shah is a Data Solution Engineer, PhD scholar, educator, and author with a passion for shaping AI-native data teams and transforming how organizations work in the age of intelligent systems. She brings a unique blend of real-world engineering leadership and academic research, specializing in AI-powered data platforms, human-centered AI, and data-driven decision-making.She is the author of Foundations and Applications of AI in Data Engineering and Healthcare Analytics and a contributor to 17+ peer-reviewed research publications. Her work focuses on AI adoption, governance, and the cultural shift from data-driven to AI-native teams. Her doctoral research explores how AI is redefining workflows, trust, collaboration, and the evolution of roles across modern data organizations.
Bhumika actively serves as a judge for international technology and innovation awards and is a strong advocate for STEM education and ethical AI literacy. She mentors aspiring technologists, supports global hackathons, and regularly speaks at industry and academic conferences to empower professionals to thrive in AI-enabled careers.
Recognized for bridging technical execution with strategic vision, Bhumika is committed to advancing responsible, transparent, and inclusive AI practices—helping teams adapt to change, build trust in AI systems, and turn innovation into sustainable impact.
