Paul Sara

Account Executive at dataengine

Paul Sara is an accomplished sales and leadership coach and business mentor, currently self-employed since December 2021. Paul also serves as an Account Executive at dataengine, a position held since November 2022, where the focus is on leveraging data for business benefits. Prior experience includes significant roles at Vodafone New Zealand as Regional Sales Manager, where retention and growth of the business customer base were prioritized, and at Telecom New Zealand in various managerial positions, emphasizing turnaround efforts, customer acquisition, and sales target achievements. Paul holds a Diploma in Management Studies from The University of Waikato.

Location

Wellington, New Zealand

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dataengine

Unlock your data's potential and transform with dataengine. dataengine, a New Zealand-based leader in data solutions, empowers businesses to unlock the hidden value within their data and achieve true transformation. We connect people, processes, and technology for optimised efficiency and sustainable impact. Founded in 2018, we've grown rapidly thanks to our exceptional team and commitment to delivering practical, impactful results. We believe in building the foundation right, starting with strategic planning and robust architecture. What sets us apart? • Experienced & Pragmatic: Our team boasts extensive expertise, focusing on tangible outcomes, not just presentations. • Small Wins, Big Impact: We deliver incremental value drops, ensuring our customers see results quickly and continuously. • Holistic Enablement: We develop with the customer, in their environment, empowering their team to own and optimise solutions. Leading the way in Generative AI: We've developed a unique standalone AI engine, providing secure and accessible tools for our customers’ AI journey. From use case brainstorming to model deployment and tuning, we offer comprehensive support throughout the entire lifecycle. Beyond AI: Our services range from advisory and resourcing to full-scale platform design and build, catering to any data-driven business need.


Employees

11-50

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