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Terex Appoints Namita Jindal as Chief AI and Data Officer

Global lifting and materials handling manufacturer Terex has appointed Namita Jindal as its new Chief AI and Data Officer, strengthening the company’s executive leadership team as it advances its digital transformation strategy.

30-Second Takeaway Terex has named Namita Jindal as Chief AI and Data Officer, tasking her with accelerating the company’s AI-driven digital strategy and data capabilities. She joins from CentralSquare Technologies and will report directly to Terex CEO Simon Meester. Senior AI Leadership Role Created at Terex Terex has appointed Namita Jindal as Chief AI and Data Officer, a newly created executive role reflecting the company’s increased focus on artificial intelligence, data governance, and digital innovation. Jindal will report directly to Terex chief executive Simon Meester and will serve as a member of the company’s executive leadership team, supporting enterprise-wide digital transformation initiatives. Extensive Technology and Leadership Background Jindal joins Terex from CentralSquare Technologies, where she has served as Chief Information Officer for the past four years, leading enterprise technology, data, and digital initiatives. She began her career in 2002 as a solutions developer with Indian financial services company Subh Santosh Buildwell, before moving to Shahi Exports as a software developer. In 2004, she relocated to Phoenix, Arizona, taking on the role of principal consultant with IT services company Keane India. After becoming an independent consultant in 2006, she moved to Ohio to join Alliance Data as a services leader. More Than a Decade at Honeywell In 2010, Jindal joined Honeywell, where she served as Chief Information Officer for more than 11 years, overseeing large-scale digital transformation, enterprise IT modernisation, and data strategy initiatives across the global electronics manufacturing group. Following her tenure at Honeywell, she relocated to Florida to take up her role at CentralSquare Technologies, further expanding her leadership experience in software development and digital platforms. Active Board-Level Engagement Alongside her executive role at Terex, Jindal currently serves on the boards of several organisations, including: Vation Ventures, an IT consulting company Central Florida CIO, an information and networking organisation Evanta, a professional coaching company She also joined the board of Bain Capital Ventures approximately four months ago, adding private equity advisory experience to her portfolio. CEO Highlights Strategic Importance of Appointment Terex chief executive Simon Meester said the appointment would play a critical role in advancing the company’s long-term strategy. “I am delighted to welcome Namita to Terex. Her extensive experience with artificial intelligence and advanced data management will accelerate our transformational digital strategy and help us build a stronger, more efficient, and more profitable company.” About Terex Terex Corporation is a global manufacturer of lifting and materials handling equipment, serving construction, infrastructure, quarrying, recycling, and industrial markets worldwide. The company operates through a portfolio of well-known brands and continues to invest in technology, automation, and digital innovation to support customer productivity and sustainability goals. Website: https://www.terex.com Frequently Asked Questions Who has Terex appointed as Chief AI and Data Officer? Terex has appointed Namita Jindal as its new Chief AI and Data Officer. Who does Namita Jindal report to at Terex? She will report directly to Terex CEO Simon Meester. Where did Namita Jindal work previously? She previously served as Chief Information Officer at CentralSquare Technologies. What experience does Namita Jindal bring to Terex? She brings more than 20 years of experience in AI, data management, enterprise IT, and digital transformation, including over a decade at Honeywell. Why is Terex creating a Chief AI and Data Officer role? The role supports Terex’s focus on AI-driven innovation, data strategy, and digital transformation across its global operations.

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