Kate Chamberlain has been appointed to the role of Group Finance Director at Cloudfm to support the company’s international growth plans as it rolls out advanced new technology to help reduce carbon emissions in the built environment.
Chamberlain has been promoted to the new role from Head of Finance and will join the Executive Board. She joined the business in July 2018 and will now lead the company’s finance function, drive continuous improvement, oversee a talented team, and support further expansion.
Chamberlain held previous roles at Atalian Servest and Greene King. She has extensive knowledge of the facilities management sector and the management of large, complex estates, together with her high-level experience in adding value to a business through exemplary management accounting practices.
Speaking about her appointment, she said: “Cloudfm continues to evolve and push the industry forward. It’s great to be part of a team with ambitious growth plans in the UK and overseas. The last five years have been an amazing personal and professional journey, and I am looking forward to what the next chapter will bring.”
Jeff Dewing, Cloudfm CEO, commented: “Kate is closely involved in the direction of the company as we pursue a fast-paced technology and FM strategy, which will drive significant future growth and the global expansion of our enviro-tech.
“Kate has built and led a robust finance team in the five years she has been with Cloudfm and has grown her career with us. During the challenging times of Covid, as head of finance, she had a material impact on our resilience, survival and subsequent regrowth through her careful management and wise counsel.”
Cloudfm’s new technology, Mindsett PRISM ®, is achieving 23 per cent energy savings in large multi-site operations. The IoT solution monitors building assets, delivering data to a cloud-based dashboard and app, encouraging users to make practical environmental changes. By combining IoT, AI, and machine learning, property managers can target energy and resource usage effectively, reducing costs, waste and building an asset data index to enable predictive maintenance.