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The AI Presales Solution Architect will be responsible for leading presales solutioning for data projects, requiring over 12 years of experience in data and analytics. The role involves preparing technical solutions, client presentations, and coordinating with teams. Strong expertise in cloud platforms like Azure, AWS, and GCP is essential. The ideal candidate will have excellent communication skills and the ability to transform client needs into actionable deliverables.
Job Responsibility:
Leading presales solutioning for data projects
Preparing technical solutions
Preparing client presentations
Coordinating with teams
Requirements:
Overall Experience in Data and Analytics of more than 12 years
Experience of working as presales solutions architect of more than 5 years
Should have done End to End presales solutioning for data project includes End to end Technical Solution preparation, documentation, Presentation to the client for a deal value of more than $2 Million
Well versed with Data and analytics technologies like Data migration, ETL Migration, Data strategy, Cloud Data transformation, Estimation and Pricing Strategy
Should be able to create Value preposition, Resource loading, estimations, Project delivery timeline
Should be able to transform client problems/needs into planned deliverables with quick and long term wins
Should be able to co-ordinate with multiple teams to drive the solutions
Have good experience in client presentation (story telling)
Should be able to work independently on Presales RFP/RFI in Data, analytics and AI/GenAI Area
Good experience in one of the hyperscale cloud like Azure, AWS or GCP, Databricks, Snowflake, ETL tools