Data Driven Enterprise Architect

1 Days Old

AI Solutions ArchitectThe role involves driving revenue across a wide portfolio of enterprise customers and industries. The candidate will jointly lead and influence customers from initial opportunity discovery through proposal development and deal closure while collaborating closely with sales, delivery, product, and partner teams.This role carries sales pipeline joint-ownership within an aligned pod of professionals, quota-bearing objectives, and requires the ability to manage multiple active pursuits simultaneously across a diverse customer set.Key Responsibilities:Sales Motion & Business DevelopmentLead technical presales engagements across multiple concurrent customer opportunities.Develop services proposals in collaboration with other Dell teams and customer stakeholders.Facilitate consultative workshops with customers to understand key challenges and position AI solutions value.Communicate vision and value proposition to technical and executive audiences.Partner with Sales Executives, Business Development Managers, Account Managers, and Service Delivery teams to advance pipeline opportunities.Support sales forecasting, reporting, pipeline management, and quota achievement.Customer Engagement & Executive CommunicationLead consultative discovery workshops with business and technical executives to identify AI solution opportunities and strategies.Work with technical PreSales teams to translate business objectives into actionable technical architectures and service proposals.Develop and deliver compelling customer presentations, demos, proposals, and design sessions to both executive and technical audiences.Technical Solution LeadershipArchitect end-to-end data and AI solutions across data pipelines, data lakes, data governance, AI model pipelines, and enterprise AI platforms.Apply knowledge of GenAI-specific data ingestion, vector store integration, RAG pipelines, agentic frameworks, and multi-modal data management.Collaborate on AI platform designs leveraging product and partner ecosystem.Provide expert guidance on modern data stack components: data quality, metadata management, observability, data products, feature stores.
Location:
London, England, United Kingdom