Data & AI Solution Advisor

Responsibilities Collaborate with account teams and partners to understand customer objectives, qualify opportunities and shape account strategy. Act as a trusted advisor and thought leader, shaping and guiding customer’s lifetime value journey with SAP’s data & AI solution portfolio. Evaluate technical and business values in technology expansion, integration and acquisition scenarios, enabling the field with clear insights and recommendations. Lead customer discovery sessions, data maturity assessments, solution workshops, and architecture reviews to identify requirements, pain points and target outcomes. Translate customers into tailored solution recommendations, clearly articulating SAP’s data & AI differentiators and best practice architectures. Design end-to-end data modernization architectures spanning data fabric, data warehousing, analytics, enterprise master data management, and agentic AI readiness. Deliver standard and customized demos, tailored proof-of-concepts (POCs), executive briefings, and workshops that demonstrate clear data-to-value outcomes. Support proposal development, business case creation and deal progression, in close collaboration with account teams, peer solution advisors, partners and services. Represent regional, industry and customer-specific business needs, market challenges and requirements through detailed, professional and fact-driven presentations to influence the road map priorities. Stay current on market trends, competitive landscape, and emerging technologies to continuously strengthen SAP’s solution positioning and differentiation. Required Skills and Qualifications Bachelor’s degree in Business, Technology, AI, Data and Analytics, or a related field. 7+ years of experience in pre‑sales, consulting, or solution architecture within data, analytics, or AI domains. Hands‑on experience in modern enterprise data architectures, spanning master data management, data warehousing/lakehouse, data fabric, analytics, and agentic AI/ML. Demonstrated technical proficiency in SAP Business Data Cloud services, including SAP Datasphere, SAP Analytics Cloud, SAP HANA Cloud, SAP Mater Data Governance, Joule, SAP Knowledge Graph, SAP Databricks, and SAP application data models. Working knowledge of leading data ecosystems such as Reltio, Databricks, Snowflake, Google Cloud, Microsoft Azure, Amazon Web Services, Palantir, or Informatica. Proven track record of leading customer‑facing demos, workshops, POCs, and executive‑level engagements. Excellent communication and presentation skills, with ability to distill complex or technical concepts into clear, compelling business narratives and visual illustrations. Deep understanding of enterprise buying cycles, complex deal structures, and value‑based selling. Polished collaboration and stakeholder management skills, successfully engaging technical, commercial, and partner teams to drive customer‑centric outcomes. High learning agility and adaptability in fast‑changing business environments. Ability to work independently and collaboratively in high‑pressure, time‑critical environments. High energy and passion for customer success supported by a methodical, structured approach to solving problems and delivering value. SAP is not providing sponsorship with this role SAP is not providing relocation with this role Travel Requirements: up to 50%. 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. Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step towards demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted annual combined range for this position is 137300–294000. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits. #J-18808-Ljbffr SAP