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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & AI Solution Advisor - **Company:** SAP LTD. - **Location:** Tempe, AZ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Data Governance, Data Transformation, Dataspaces, Data Warehousing, Graph Database, SAP (Applications), SAP HANA, SAP NetWeaver Data Management, Google Cloud, Cloud Platform System, Snowflake, Microsoft Fabric, Data Analytics, Virtual Agents, Databricks - **Published:** August 8, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/data-and-ai-solution-advisor-tempe-az-usa-58850866 ## About the Role 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 ## Description 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 ## Related Videos - [Evolving the developer experience in the age of AI](https://www.wearedevelopers.com/videos/100201-evolving-the-developer-experience-in-the-age-of-ai) - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)