David Njoku

Regional Sales Director at Magellan X

David Njoku has a diverse work experience spanning multiple companies and roles. David started their career in 2006 as a Senior Sales Executive at Anthony Stevens & Co and worked there until 2010. From 2010 to 2012, they worked at Hanson Wade as a Manager of Sales and Business Development. David then moved on to Dahlink Business Solutions in 2012, where they served as the Business Manager for the APAC region until 2014.

In 2014, Njoku joined GlobalData Plc, a prominent business intelligence and data provider, where they held various positions including Snr Business Development Manager - EMEA, Head of Business Development EMEA, Key Account Manager, and Director of Business Development. David left GlobalData Plc in 2018 and joined Capventis as the EMEA Sales Director. At Capventis, they focused on digital transformation and business improvement, working with SaaS providers such as Qlik, Alteryx, Qualtrics, and Zendesk. Njoku's most recent position is as the Enterprise Sales Director at Magellan X, which they started in 2023.

David Njoku attended the University of Plymouth from 2008 to 2010, where they obtained a Bachelor of Science degree in Business Management and Information Technology. David then pursued further education at GSM London from 2010 to 2012, earning a Master of Business Administration (M.B.A.) degree with a focus on International Business.

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London, United Kingdom

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Magellan X

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Magellan X is a technology company that enables Oil & Gas, and other industrial companies to meet their safety and sustainability obligations through purpose-built IIoT/AI technological solutions. ecoMax – Decarbonisation Monitoring and Certification SOL-X – Connected Worker Safety PROPELLER – Inventory Optimisation and Tracking Originally incorporated in Singapore in 2019 by BGC Digital Ventures and MISC, our suite of purpose-built solutions is specifically designed to make an immediate impact, ensure business continuity, and bring rapid financial gains. They are highly differentiated through IIoT devices that accurately capture real-time data signals from direct source and using AI to produce real-time actionable insights.


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51-200

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