Digital Solution Advisor Specialist - SAP Data & AI
Role details
Job location
Tech stack
Job description
The Digital Solution Advisor Specialist - SAP Data & AI is a customer-facing presales role focused on positioning SAP's Data, Analytics, and Artificial Intelligence solutions to address customer business challenges. Acting as a domain expert and trusted advisor, you will connect customer requirements with SAP's Data & AI portfolio, supporting pipeline growth, deal execution, and successful customer adoption.
You will work closely with sales, virtual account teams, and marketing to deliver compelling value-based narratives, drive demand generation, and enable customers on their journey toward becoming intelligent, data driven enterprises.
SAP Digital is one of the most innovative organizations within SAP, delivering exceptional customer experiences at scale. Our mission is to support the Customer Success board area across the full customer lifecycle-helping customers run better and, ultimately, contribute to a more connected, sustainable, and equitable world. We proudly live SAP's values: build bridges, embrace differences, keep the promise, stay curious, tell it like it is, and lead with integrity.
Key responsibilities
- Deal support & customer engagement
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Lead and deliver customer-facing presentations, demos, and discovery sessions focused on SAP Data & AI capabilities (e.g., analytics, data management, integration, and AI-driven insights).
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Translate customer pain points into value-driven solution narratives, tailored for both technical and executive audiences.
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Collaborate with Virtual Account Teams (VAT), sales, and solution experts to support pipeline growth and deal closure.
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Contribute to customer roadmaps for cloud transformation and intelligent enterprise adoption.
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Support RFx responses and key customer engagements, including strategic events and executive presentations.
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Maintain and curate reusable presales assets to enable scalable, low-touch engagements.
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Ensure a smooth transition from presales to post sales by supporting knowledge handover and customer onboarding activities.
- Demand generation
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Support demand generation initiatives by contributing domain expertise in SAP Data & AI.
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Partner with marketing and DG teams to refine targeted messaging and content aligned to customer needs and market trends.
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Act as a subject-matter contributor in campaigns, webinars, and digital events.
- Digital content & thought leadership
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Develop and enhance customer-facing digital content (presentations, demos, storytelling assets) with a strong focus on Data & AI use cases.
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Incorporate intermediate-to-advanced solution insights to ensure content relevance, consistency, and impact across regions.
- Sales enablement
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Contribute to the creation and refinement of sales enablement and training materials related to SAP Data & AI solutions.
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Enable sales teams to confidently articulate SAP's value proposition, architecture, and differentiation in Data & AI scenarios., Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
Successful candidates might be required to undergo a background verification with an external vendor.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process (https://jobs.sap.com/content/Ethical_usage_of_AI_in_the_recruiting_process/?locale=en_US) .
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requirements
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Bachelor's degree (or equivalent) in Computer Science, Computer Engineering, Data Science, or a related technical field.
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2 years of experience in consulting and/or presales with SAP Business Technology Platform or 4 years of professional experience in comparable data, analytics, cloud, or AI technology stacks.
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Hands-on or presales experience with data management, analytics, integration, or AI technologies.
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Strong understanding of cloud concepts in a B2B environment (SaaS, PaaS, hosted services).
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Knowledge of SAP BTP, data warehousing, analytics, and AI services is a strong plus.
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Comfortable engaging with both technical stakeholders and business decision-makers.
Language requirements
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English: Fluent (mandatory)
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Additional languages are a plus, including Italian, Spanish, Turkish, Dutch, and French.