Senior Customer Success Manager - SAP Data & AI; Public Sector

Senior Customer Success Manager - SAP Data & AI (Public Sector)

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.
• Experience working with Local, State, Federal organizations.

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…