Building a Data-Literate Workforce in the AI Era

About the On-Demand Webinar

What does it take to build data fluency across one of the world’s largest enterprises?

In this exclusive Learning Leaders Forum session, Sankhdeep Mitra, Director of Enterprise Data Literacy and Culture at Walmart, shares how global organizations can transform data from a reporting function into a decision-making capability embedded across teams.

This conversation explores how data literacy, culture, and leadership alignment drive measurable business impact in complex, large-scale environments.

In this candid conversation, Sankhdeep Mitra shares how Walmart approaches:

  • Scaling enterprise-wide data literacy

  • Embedding analytics into everyday decision-making

  • Aligning leadership on a data-driven culture

  • Measuring adoption beyond course completion

  • Moving from dashboards to daily behavioral change

This session goes beyond theory and frameworks; it offers practical insights from real enterprise implementation at a global scale.

What You’ll Learn

AI and advanced analytics investments fail when employees lack confidence in using them.

Enterprise data literacy enables:

  • Faster, evidence-based decision-making

  • Improved cross-functional collaboration

  • Reduced dependency on centralized analytics teams

  • Stronger accountability through measurable insights

  • A culture of continuous improvement

The speaker’s experience demonstrates how data fluency becomes a business capability, not just a training initiative.

By watching this session, you will learn:

  • How to define data literacy at an enterprise level
  • How to secure executive sponsorship for cultural change
  • Practical steps to scale learning across large workforces
  • Metrics that matter when building data capability
  • How data literacy supports AI readiness

Who Should Watch

This session is ideal for:

  • Chief Data Officers

  • CHROs and Talent Leaders

  • Heads of Learning & Development

  • Digital Transformation Leaders

  • Enterprise Analytics and Strategy Teams

If you are responsible for building a data-driven organization, this conversation provides actionable insights you can apply immediately.

Speaker

Sankhdeep Mitra
Director of Enterprise Data Literacy and Culture, Walmart

Sankhdeep leads initiatives focused on building data fluency across enterprise teams, ensuring that analytics capability translates into real-world business outcomes. His work bridges culture, capability development, and operational impact in one of the world’s most complex retail ecosystems.

Rahul Goila
Senior Director & Head of USA Partnerships, Simplilearn

Rahul Goila leads strategic enterprise partnerships at Simplilearn, driving large-scale workforce transformation initiatives across the US market. He works closely with business and L&D leaders to align digital learning solutions with measurable business outcomes and long-term capability building.

Why Attend This Live Session

  • Hear practical, enterprise-tested approaches, not theory
  • Learn how leaders align AI learning to business outcomes
  • Understand how organizations are enabling job-ready AI skills
  • Get clarity on metrics that matter for AI L&D investments

About Simplilearn Learning Leaders Forum

The Simplilearn Learning Leaders Forum (LLF) is a premium thought-leadership platform where the sharpest minds in Learning & Development, Talent Strategy, and Digital Transformation come together to shape the future of workforce development.

More than just a webinar series, LLF is a curated executive conversation space designed for enterprise L&D leaders to share real-world insights, bold perspectives, and proven strategies on the most critical topics transforming organizations today: AI adoption, data literacy, enterprise architecture, digital culture, workforce agility, and leadership in the age of automation.

Watch the Full Conversation

Hosted By

SimplilearnSimplilearn

Simplilearn is one of the world’s leading providers of online training for Digital Marketing, Cloud Computing, Project Management, Data Science, IT, Software Development, and many other emerging technologies.

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