Microsoft Azure Business Development and Specialist
About this position
Responsibilities
• Identify and qualify new business opportunities specifically in the Cloud Data & AI space, focusing on solutions like Azure Synapse Analytics, Azure Data Lake, Azure Machine Learning, and other Azure AI and data services.
• Develop and execute a go-to-market strategy to achieve sales and growth targets within the Data & AI market segment.
• Build and maintain strong client relationships, understanding their data and AI needs to align Azure solutions effectively.
• Collaborate with sales and marketing teams to develop customer-specific messaging, case studies, and whitepapers for Azure Data & AI solutions.
• Analyze market trends, competitive offerings, and customer needs to inform strategy and product positioning.
• Engage with customers to understand their data challenges, objectives, and AI needs, translating them into Azure-based solutions.
• Design and present end-to-end Azure solutions for data warehousing, advanced analytics, machine learning, and artificial intelligence.
• Develop and lead technical workshops, demos, and proof of concepts (POCs) to showcase Azure’s capabilities in data integration, processing, analytics, and AI.
• Collaborate with Azure architects and data scientists to customize solutions that align with customer needs, while ensuring scalability, cost-effectiveness, and security compliance.
• Create detailed solution proposals, architecture diagrams, and Statements of Work (SOWs) for data and AI projects on Azure.
• Partner closely with Microsoft Azure account teams to leverage resources, incentives, and marketing programs.
• Work with cross-functional teams (e.g., engineering, customer success, product development) to ensure the successful delivery of Azure Data & AI solutions.
• Provide thought leadership on cloud data and AI trends, serving as the go-to expert on Azure Data & AI services within the organization.
• Stay up-to-date with Azure Data & AI innovations, competitive offerings, and best practices to continually enhance solution quality and relevance.
Requirements
• Bachelor’s degree in Computer Science, Data Science, Business, or related field; advanced degrees and Azure certifications (e.g., Azure Data Engineer, Azure AI Engineer, Azure Solutions Architect) are preferred.
• 10+ years of experience in business development, solution consulting, or pre-sales, with a focus on data analytics, machine learning, or AI solutions in cloud environments.
• Strong knowledge of Microsoft Azure services.