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CMA CGM

Solution Advisor Expert- HANA Cloud Center of Excellence (CoE) - San Ramon

CMA CGM, San Ramon, California, United States, 94583

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Senior Specialist in the HANA Cloud Center of Excellence (CoE)

We help the world run better. At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging

but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. As a Senior Specialist in the HANA Cloud Center of Excellence (CoE), you will be the go-to expert for Data & Analytics solutions within our Customer Advisory organization. You will leverage your deep expertise to support the entire sales cycle, including identifying opportunities, providing post-sale customer support, and assisting customers in expanding their SAP footprint. This high-impact role bridges strategy and executiondesigned to help scale adoption, accelerate migration, and unlock value from SAP HANA Cloud across our customer base. You'll work in close collaboration with account teams, partners, and customer success teamssupporting the full customer lifecycle with expert guidance, solution architecture, and scalable best practices. While not carrying a quota, your role is critical in driving sales execution, deal velocity, and customer outcomes at scale. Key responsibilities include: Act as the go-to advisor for HANA Cloud migrations and transformation engagements. Guide customers on transitioning from legacy/on-premise systems HANA, Sybase databases to cloud-native data platforms. Support account teams in structuring and progressing strategic HANA Cloud and IBM ASE cloud opportunities. Deliver both standard and customized solution demonstrations Support the account teams in identifying and qualifying new opportunities Evaluate account qualification criteria and fine-tune account strategy Collaborate on creating overall themes and competitive differentiation Support execution of regional HANA Cloud campaigns and demand generation activities. Conduct dry runs for strategic deals and customer engagements Transition engagements to implementation partners effectively Engage in storytelling that connects HANA Cloud to tangible business outcomes and industry narratives. Analyze industry and technology trends around data platforms, AI-readiness, and cloud transformations. Leverage digital assets throughout customer engagements Partner with Customer Success, Product Management, Value Engineering, and Ecosystem teams to ensure customer success. Help define reference architectures and collaborate on large-scale transformation programs. Share insights and success stories across regions to scale impact and consistency. What you bring: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field 7+ years of experience in enterprise data platforms, architecture, or solution advisory roles. Deep knowledge of SAP HANA Cloud, SAP BTP, and cloud data management principles. Experience driving or supporting large data migrations and transformation programs. Strong understanding of hyperscaler ecosystems (AWS, Azure, GCP) and hybrid-cloud patterns. Ability to translate complex technical concepts into compelling business value. Excellent storytelling, facilitation, and stakeholder management skills. Strongly preferred: Familiarity with SAP Datasphere, SAP BW/4HANA, SAP Analytics Cloud, and SAP Business AI. Experience with AI/ML adoption narratives and data-driven transformation strategies. Prior exposure to pre-sales or sales execution support roles. Understanding of SAP's GTM motions and internal tools/processes. Why this role matters: SAP HANA Cloud is the modern digital core powering the Business Data Cloud. As part of the HANA Cloud CoE, your work will help thousands of customers make the leap to a scalable, AI-ready data future while helping the field drive execution and impact at scale.