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AI Technical Advisor - BTP-HR-Finance-Procurement-Supply Chain

SAP
Newtown Square, PA, US, 19073, United Statesfull_timeVerifiedPosted 6 Jan 2025
💰 $281,400/yr($165,500/yr$281,400/yr)

About the role

We help the world run better


At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. 

 

The AI Technical Solution Advisor role focuses on the technology aspects of SAP’s Business AI, supporting the sales organization by providing deep technology solution and architectural expertise, with an additional focus on AI use cases. 

 

Current openings within: 

SAP’s Business Technology Platform – HR –Finance – Procurement - Supply Chain.    

 

 

What you'll do: 

The Customer Advisory AI Solution Advisor works closely with SAP’s sales organization and the partner ecosystem to define account strategy as it relates to Artificial Intelligence. AI SAs are responsible for bridging the gap between the customer’s business strategy and relevant Business AI technologies. They are trusted advisors for the customer and SAP sales team to map AI technology and architecture to a customer’s Business AI roadmap.  

As an AI Solution Advisor, you will focus on the following key areas: 

Providing Technological Guidance in Business AI 

  • Provide technical guidance for sales cycles being carried out within a geographic market unit in North America 

  • Support the AI architectural roadmap building in sales cycles end-to-end for marquee accounts 

  • Clarify detailed questions from customers around AI technology, and topics like user authorizations and functional scope of pre-built AI use cases 

  • Triage incoming requests from customers and sales teams around Business AI technology 

  • Help to facilitate bi-weekly office hours with regional sales teams as the technical subject matter expert 

  

Creating an SAP AI Vision for the Customer to build Pipeline 

  • Support building customer demand through presentations of Business AI technology 

  • Understand customer’s technical architecture and business process to create target architectures 

  • Understand customer’s current enterprise landscape and future needs​ 

  • Drive the positioning of standard AI approaches leveraging SAP Business AI 

  • Engage in pipeline-building activities such as regional AI community events with technology audiences 

 

Building Key Business AI Deliverables to drive Sales Results 

  • Facilitation and execution of AI Discovery Workshops with technical audiences 

  • Drive Business AI architecture and capability mapping to solution design​ 

  • Ensure IT feasibility of the Business AI mapping to SAP solution architecture. 

  • Support customer cloud transformation roadmap definition 

  

Being a Business AI Advisor for the Customer to create Lifetime Value 

  • Support customer workshops and meetings to develop relationships with key technology leaders at the customer 

  • Support updating AI roadmaps & solution maps in your particular domain of functional focus with the customer 

  • Drive solution expansion by highlighting value & linkages to the broader SAP Portfolio 

  • Support the end-to-end lifecycle of solution activation and consumption 

  

What you bring: 

  • A deep technological understanding of AI concepts (Retrieval Augmented Generation, Knowledge Graphs, Vector Databases, LLMs, SLMs, etc.) 

  • A willingness to learn all the relevant functional, embedded AI use cases provided in a particular functional area of SAP’s portfolio (e.g. Supply Chain, Human Capital, Finance, etc.) 

  • Experience working with traditional narrow AI (e.g. ML projects, predictive analysis, forecasting, etc.) 

  • Hands-on experience running data science projects and designing architectures for advanced analytics 

  • Experience acting as the trusted technology advisor of an enterprise software organization to a customer 

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Company

SAP

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