- Will report to Karan Bajwa, VP, Asia Pacific
- Tasked to drive regional strategy, direction & overall revenue performance
Google Cloud announced the appointment of Mark Micallef as managing director of its business in Southeast Asia.
In his new capacity, Micallef will be responsible for driving regional strategy, direction, team development, and overall revenue performance for Google Cloud and Google Workspace, and working with teams across Google to help customers reimagine their business and industry through bold and responsible artificial intelligence (AI) innovation, the company said in a statement.
It added that Micallef will report to Karan Bajwa, vice president, Asia Pacific, Google Cloud.
Micallef joins Google Cloud following leadership roles at Anaplan, Cloudera, Citrix, and Trend Micro and brings more than 28 years of technical, sales, and management experience. Across his career in technology leadership, Micallef has helped multiple businesses grow and scale in Southeast Asia, Australia and New Zealand, Japan, Greater China, India, and Korea, Google Cloud said.
Bajwa said Southeast Asia continues to be one of Google Cloud’s most important and high growth regions globally.
“Micallef joins us at a time where technology advancements are presenting this region with the opportunity to leapfrog into the AI economy – the same way it became a digital and mobile-first economy that’s on track to be worth more than US$300 billion (RM1.39 trillion) by 2025,” he added.
“We are excited to welcome a leader with a growth mindset and deep appreciation of the diverse needs across markets, as we continue to empower organizations to achieve transformative outcomes with best-in-class, AI-infused solutions for data, infrastructure, productivity, and security,” Bajwa said.
“I’m thrilled to be joining a company that’s been at the forefront of this field for over two decades, and to be leading a highly talented team across Southeast Asia as we enable organisations of all sizes to innovate quickly, securely, and responsibly with enterprise-grade cloud AI models, platforms, and products suites,” Micallef said.