Kailash Awati

Kailash Awati is a Casual Academic at the UTS Business School and an Adjunct Fellow in Human-Centred Data Science at the Connected Intelligence Centre, University of Technology Sydney. He concurrently serves as a Data and Insights Manager at a government agency. His professional journey spans over two decades in developing data and analytics capabilities across diverse sectors including nonprofits and multinational organizations.

Awati’s research focuses on business analytics, decision-making under uncertainty, and collaborative problem-solving in large organizations. He has co-authored influential books such as The Heretic’s Guide to Best Practices and Data Science and Analytics Strategy: An Emergent Design Approach, which address complex organizational challenges and data strategy implementation.

His funded research includes the Deliberation Analytics for SWARM grant (2019–2020) focusing on decision-making frameworks. Awati teaches courses in business analytics and decision-making at the UTS Master of Data Science & Innovation program, emphasizing practical pedagogy for ambiguous management scenarios.

Key contributions include integrating sensemaking techniques with rational decision models, and advancing methodologies for organizational data capability building. His work bridges academic research with real-world applications in project management and strategic decision-making.