Nilesh Jadhav
Head, Energy Performance & Sustainability, Smart Infrastructure-RSS, ASEAN/APAC, Siemens, Singapore
Last updated: July 09, 2024 Singapore
His current role focusses on end-to-end decarbonization solutions and digital services implementation for lifecycle sustainability for organizations, his team helps create innovative pathways towards complete decarbonization and achievement of net-zero goals.
Nilesh Jadhav is also Adjunct Associate Professor for Sustainability Executive Education at Nanyang Technological University Singapore.
His diverse work experience spans across senior management, sales leadership and technical roles in manufacturing, supply-logistics and research functions in Singapore, India and the Netherlands. Notably, he has been involved in the Green Data Centre and Green Mark certification standards development in Singapore and has also worked on projects implementing innovative data centre technologies.
He was previously Chief Executive Officer of BtrLyf, a digital ecosystem platform with a simple mission to connect and empower the built environment industry. He also worked as a Senior Scientist and Program Director at the Nanyang Technological University (NTU), Singapore, leading the Ecocampus Sustainability test-bedding initiative and the research group on Sustainable Built Environment Technologies (2011-19).
He has been involved in writing the Technology Primers on Smart Grids and Solar Technologies for the National Climate Change Secretariat (NCCS, Singapore), and was the project lead for developing Singapore’s first Technology Roadmap for Energy Efficient Building Technologies with the Building Construction Authority (BCA) of Singapore.
He is an avid renewable energy enthusiast and served as an Editor with Solar Novus, an online publication dedicated to solar energy. He has a keen interest and involvement in technology commercialization activities and mentoring new technology start-ups. His other venture Qi Square uses scientific modelling and data-driven tools to optimize green building performance and operations in the long-run.