Geakminds Technologies

Senior IT Presales Specialist Cloud, Analytics & AI (Azure) We are seeking a dynamic Senior IT Presales Specialist with deep expertise in AI, Analytics, and Data Engineering in Azure environments to join our team. As a senior member of our presales function, you will play a pivotal role in engaging with clients, understanding their business needs, and designing innovative solutions leveraging Cloud, Data, and AI technologies. Your primary goal will be to drive revenue growth by creating compelling solution approaches, proposals, and pricing strategies while effectively articulating the value proposition of our offerings. Key Responsibilities: Engage with clients to understand their business challenges, needs, and objectives. Design tailored solutions in AI, Analytics, and Data Engineering with a strong focus on Azure environments. Lead proposal creation, technical solutioning, and pricing strategies in response to RFPs, ensuring alignment with client requirements. Collaborate with the sales team to generate and qualify leads. Conduct presentations, demos, and workshops to showcase the capabilities of Cloud, Analytics, and AI solutions. Stay ahead of the curve on Cloud (Azure, AWS, GCP), Big Data, Analytics, and AI/ML trends . Collaborate with internal technical teams to ensure solutions align with industry best practices and architectural standards . Build and maintain strong relationships with key stakeholders across client and partner organizations. Analyze customer feedback and market data to identify opportunities for solution enhancements or new offerings. Provide insights and recommendations to internal teams to drive continuous improvement of presales processes and solution offerings. Requirements: 8 to 10 years of proven presales or consulting experience in IT solutions, with significant exposure to Cloud, AI, Analytics, and Data Engineering . Strong technical architecture and solution design experience in Azure (Data Factory, Synapse, Databricks, ML, AI services). Bachelors degree in Computer Science, Engineering, or a related field (Masters preferred). Proven track record in proposal creation, solution design, and pricing strategy for large-scale enterprise opportunities. Strong understanding of cloud computing platforms (Azure mandatory; AWS and GCP are pluses). Deep knowledge of Analytics, Machine Learning, and Data Engineering tools and frameworks . Excellent communication, presentation, and storytelling skills , with the ability to translate complex technical concepts for business audiences. Demonstrated ability to work in a fast-paced, dynamic environment with cross-functional collaboration. Strong analytical and problem-solving skills , with attention to detail and customer-centricity. Relevant certifications such as Microsoft Azure Solutions Architect Expert, Azure Data Engineer Associate, or Google Professional Data Engineer are highly desirable.