Related skills
azure aws gcp mlops data architecture📋 Description
- Lead early discovery with Sales to qualify opportunities.
- Architect data, ML, and GenAI solutions on Google Cloud.
- Own scoping, estimation, and writing of SOWs and RFPs.
- Support RFPs, solution reviews, and deal strategy for £1m+.
- Facilitate client workshops on AI strategy and GenAI readiness.
- Build POVs and architectures balancing value, feasibility, cost.
🎯 Requirements
- 7-12 years in data, analytics, ML, or cloud architecture.
- 3+ years in a pre-sales or client-facing advisory role.
- Cloud architecture knowledge: infra, data governance, design.
- Hands-on depth in GCP; AWS/Azure SA cross-skill to GCP.
- Excellent written/verbal comms; simplify tech for leaders.
- Consultative sales shaping deals over $1M.
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