Data Sales Manager

abra’s Data & AI Division is hiring a Data Sales Manager! The role involves selling Data & AI projects, solutions, and services , managing complex sales processes with Enterprise customers, building relationships with senior decision-makers, and driving business opportunities from initial engagement through to closing. Responsibilities: • Lead end-to-end sales processes for Data, Analytics, BI, and AI solutions across enterprise organizations. • Identify new business opportunities and expand activity with both existing and prospective customers. • Build and maintain trusted relationships with key stakeholders across business and technology units. • Lead RFP and RFI processes, including proposal development and commercial submissions. • Work closely with Pre-Sales, Data Architects, Data Experts, and Delivery teams to design winning solutions. • Understand customer business challenges and translate them into innovative technology solutions. • Build and manage a healthy sales pipeline while consistently meeting and exceeding sales targets. • Lead commercial negotiations and drive opportunities through successful closure. • Represent Abra's Data & AI capabilities in customer meetings, industry events, and strategic engagements.

Requirements: • 5+ years of experience selling technology solutions, information systems, or IT services, with experience in Data & AI solutions, with a strong focus on Microsoft technologies - Mandatory. • Proven track record of managing complex enterprise sales cycles and strategic customer relationships - Mandatory. • Experience leading tenders, commercial proposals, and large-scale sales opportunities. • Ability to engage and influence senior stakeholders across both Business and IT organizations. • Strong business acumen combined with a solid understanding of technology solutions. • Demonstrated ability to manage long and complex sales processes. • Excellent communication, presentation, and negotiation skills. • High level of English proficiency. Advantages • Familiarity with Data Engineering, Business Intelligence, Analytics, Machine Learning, or Generative AI technologies. • Experience working for a system integrator, consulting firm, or technology services company.