• Qualify deals through collaboration with the Sales as a whole which may include selling partners. • Establish an effective working relationship with Sales and Services to assist in all stages of deal closure • Perform discovery in a customer SAS environment, determining which algorithms will convert out of the box and which will require manual adjustment • Help Services create Statements of Work (SOW) that summarizes discovery and captures the effort and scope needed to reliably deliver an SLC project • Analyze current customer SAS architecture and design an potential target migration proposal for SLC • Work with product management, support and engineering to new major, minor roadmap activity • Study and understand custom solutions of the clients and build a similar solution in SLC or use open-source technologies (R, Python) to achieve similar or better results • Attend customer meetings and be the face of Siemens DISW SLC • Travel is required to either meet directly with clients or as part of a selling team for presentation and demonstration. This is 25-35% time overall as-needed basis • Manage demands of Sales pipeline activity and triage your own time and getting help just ahead of need • Design and create SLC related demonstrations, Proofs-of-Concept (POC), and evaluations that clearly illustrate how to apply Dataiku to deliver the required customer value. • Work closely with Siemens services and other partners to ensure enablement at all stages of the sales cycle.