Data & AI Solution Advisor

Experteer Overview In this role, you guide enterprises through Data & AI transformation initiatives, with a focus on PMI, platform modernization, and technology evolution. You act as a trusted advisor, translating complex integration challenges into clear SAP data strategies and architectures to protect value and accelerate outcomes. You influence account strategy and executive decisions while aligning cross-functional teams to deliver consistent, high-impact data modernization outcomes. This role offers the chance to shape SAP’s data and AI positioning amid evolving enterprise environments. Compensation / Benefits * Collaborate with account teams to understand customer objectives, qualify opportunities, and shape strategy * Act as a trusted advisor, guiding the customer’s data & AI value journey with SAP’s portfolio * Evaluate technical and business value in expansion and integration scenarios to provide clear insights * Lead customer discovery sessions, data maturity assessments, workshops, and architecture reviews * Translate customer needs into tailored SAP data & AI solutions and differentiators * Design end-to-end data modernization architectures (data fabric, data warehousing, analytics, MDM, agentic AI readiness) * Deliver demos, POCs, executive briefings, and workshops showing data-to-value outcomes * Support proposal development, business cases, and deal progression with cross-functional teams * Represent regional and industry needs through professional, fact-driven presentations to influence roadmaps * Stay current on market trends and emerging tech to strengthen SAP’s differentiation Tasks * 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 in data, analytics, or AI * Hands-on experience with modern enterprise data architectures (MDM, data warehousing/lakehouse, data fabric, analytics, agentic AI/ML) * Proficiency with SAP Data & AI offerings (Datasphere, Analytics Cloud, HANA Cloud, Master Data Governance, Joule, Knowledge Graph, Databricks) * Working knowledge of data ecosystems (Reltio, Databricks, Snowflake, GCP, Azure, AWS, Palantir, Informatica) * Proven track record of leading customer-facing demos, workshops, POCs, and executive engagements * Excellent communication and presentation skills; ability to simplify complex concepts * Deep understanding of enterprise buying cycles, value-based selling, and deal structures * Strong collaboration and stakeholder management across technical, commercial, and partner stakeholders * High learning agility, adaptability, and ability to work under pressure Key requirements * great benefits

workshops, and architecture reviews * Translate customer needs into tailored SAP data & AI solutions and differentiators * Design end-to-end data modernization architectures (data fabric, data warehousing, analytics, MDM, agentic AI readiness) * Deliver demos, POCs, executive briefings, and workshops showing data-to-value outcomes * Support proposal development, business cases, and deal progression with cross-functional teams * Represent regional and industry needs through professional, fact-driven presentations to influence roadmaps * Stay current on market trends and emerging tech to strengthen SAP’s differentiation Tasks * 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 in data, analytics, or AI * Hands-on experience with modern enterprise data architectures (MDM, data warehousing/lakehouse, data fabric, analytics, agentic AI/ML) * Proficiency with SAP Data & AI aaaaaaav _ (Datasphere, Analytics Cloud, HANA Cloud, Master Data Governance, Joule, Knowledge Graph, Databricks) * Working knowledge of data ecosystems (Reltio, Databricks, Snowflake, GCP, Azure, AWS, Palantir, Informatica) * Proven track record of leading customer-facing demos, workshops, POCs, and executive engagements * Excellent communication and presentation skills; ability to simplify complex concepts * Deep understanding of enterprise buying cycles, value-based selling, and deal structures * Strong collaboration and stakeholder management across technical, commercial, and partner stakeholders * High learning agility, adaptability, and ability to work under pressure Key requirements * great benefits