Data and AI Solution Advisor

The Data & AI Solution Advisor is a strategic, customer‑facing role responsible for guiding enterprises through complex Data & AI transformation initiatives, particularly in post-merger integration (PMI), platform modernization, and technology evolution scenarios. The role combines deep technical and architectural expertise with strong commercial acumen to protect customer value, ensure continuity, and accelerate business outcomes during periods of significant and transformative change. Acting as a trusted advisor to customers and internal stakeholders, you translate complex integration challenges into clear, holistic, and differentiated SAP Data & AI strategies and architectures, reinforcing customer trust and safeguarding long‑term investments. The role plays a critical part in shaping account strategy, influencing executive decision‑making, and positioning SAP as the partner of choice for data modernization, analytics, and agentic AI innovation, as customers navigate diverse, evolving environments on their journey toward the Autonomous Enterprise. Additionally, you carry critical accountability for cross‑entity enablement, aligning and empowering account teams, solution advisors, delivery organizations, and ecosystem with the guidance, frameworks, and clarity required to execute consistently and confidently in technology integration and acquisition scenarios. 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%. Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, 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 toward 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 candidatewill be within that range, dependent upon the key aspects of each case which may include education, skills,experience, scope ofthe role, location, etc. as determinedthrough theselection 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 . Please note that any violation of these guidelines may result in disqualification from the hiring process. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability. Job Segment: Cloud, ERP, Data Warehouse, Pre-Sales, Solution Architect, Technology, Sales #J-18808-Ljbffr