Job Title: Senior Customer Success Manager - Data & AI
(multiple positions available)Location: 8000 Avalon Blvd, Alpharetta, GA 30009
Work Model: Hybrid work model
Purpose and Objective:SAP America, Inc. seeks a Senior Customer Success Manager - Data & AI
(multiple positions available) at our Alpharetta, GA location to serve as 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.
Expectations and Tasks:Work closely with Customer Stakeholders, Account Executives, Product Management, Solution Advisory, Implementation Services, and Partners, translating 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 by facilitating 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.
QualificationsEducation and Occupational Experience:Bachelor's degree or foreign equivalent in Computer Science, Engineering, or a related field of study and six (6) years of progressive post-baccalaureate experience in the job offered or related occupation. Alternatively, a Master's degree or foreign equivalent in Computer Science, Engineering, or a related field of study and four (4) years of experience in the job offered or related occupation.
Qualifications/Skills and Competencies Experience:Experience must include four (4) years involving each of the following:
- Data & Analytics solutions utilizing HANA & Reporting Tools such as SAP BI or SAC or Power BI;
- Designing Data Engineering & Data Warehousing applications;
- Data Architecture, Data Integration and Data analytics for Artificial Intelligence & Machine Learning (AI & ML) procedures to develop & support LLM's;
- Integration solutions such as SAP PI or Cloud Platform Integration or Dell Boomi;
- Communicating Value Proposition of software solutions to customers; and
- Industry drivers and trends, and Customer Strategy and Objectives.
Travel: Position requires up to 60% domestic and international travel to various and unanticipated customer sites and SAP offices to meet with customers and attend workshops and webinars.
This position is eligible for the Employee Referral Program subject to the eligibility criteria outlined in the SAP Internal Employee Referral Policy.
Compensation Range Transparency: The annual base salary range for this position is $140,483 - $196,350. SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP's commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is $154,000 - $261,800. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.
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