Senior Customer Success Manager-SAP Data & AI; West Region

Senior Customer Success Manager-SAP Data & AI (West Region)

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.

What you’ll build:

You will be a trusted technical advisor and outcome-driven leader responsible for ensuring our largest customers adopt, consume, and renew SAP’s Data & AI portfolio—particularly SAP Business Data Cloud - SAP Datasphere, SAP Analytics Cloud, SAP Databricks and SAP HANA Cloud or equivalent enterprise-grade data & analytics solutions. Working closely with Customer Stakeholders, Account Executives, Product Management, Solution Advisory, Implementation Services, and Partners, you will translate business goals into data and analytics adoption plans, drive long‑term consumption, and protect and grow revenue.

• Lead post‑sale customer engagement across onboarding, use‑case identification, adoption planning, and architecture governance to maximize value and drive consumption.
• Create and execute strategic adoption plans that map customer business objectives to SAP technical capabilities and deliver measurable outcomes.
• Coach customers on enterprise data management, modern data architectures (data fabric, data mesh), and hybrid data strategies; advise CIOs and enterprise architects.
• Act as the technical bridge between business and engineering teams—facilitate technical reviews, governance sessions, and re‑platforming discussions.
• Proactively identify upsell and cross‑sell opportunities; manage renewal lifecycle from opportunity to close (CRM, pricing, legal, forecasting and consumption management).
• Track customer health and engagement using Customer Success platforms (Gainsight); own health scores and customer journey playbooks.
• Coordinate cross‑functional resources (Value Advisory, Support, Deals Desk, Partners) to remove adoption blockers and accelerate time‑to‑value.
• Maintain expert knowledge on SAP Business Data Cloud, SAP Joule and generative AI trends.
• Travel to customer sites as needed (up to 30%).

What you’ll bring:

• 7+ years in IT with focus on Data Engineering, Analytics Consulting, Solution Architecture, and Technical Customer Success.
• Proven experience creating and delivering strategic adoption plans for mid‑to‑large enterprises.
• Strong working knowledge of SAP Datasphere, SAP Analytics Cloud (SAC), and SAP HANA Cloud or equivalent enterprise‑grade data & analytics solutions with the ability to explain business value to non‑technical executives.
• Solid understanding of Data & Analytics architectures, enterprise data management, and modern data stacks.
• Demonstrated commercial acumen: experience with cloud bookings, contract and renewal management, consumption forecasting and revenue recognition.
• Excellent written, oral, and presentation skills; ability to translate complex technical concepts into business value for executive stakeholders.
• Willingness to travel up to 30%.

Preferred / a strong plus

• Hands‑on experience or deep familiarity with SAP Business Data Cloud concepts and SAP Joule or equivalent enterprise‑grade data & analytics solutions.
• Ecosystem awareness: practical experience engaging with Databricks, Google Cloud, AWS, Azure, or Snowflake.
• Functional domain knowledge in Lines of Business (Finance, Supply Chain, HR).
• Experience with Customer Success tools (Gainsight) and managing global or regional strategic accounts.
• Experience leading cross‑functional, global teams and participating in regional/global work streams.

Where you belong:

The SAP Data & AI CSM team is a collaborative group of technologists focused on helping customers become data‑driven enterprises. We value knowledge sharing, entrepreneurial thinking, and a “pay it forward” culture. You’ll have opportunities to lead work streams, influence product strategy, and contribute to…