Overview
As a Customer Success Manager – AI & Data, you ensure that customers realize sustainable value from our AI and data solutions. You combine strong customer focus with a solid understanding of data- and AI-driven approaches and guide customers לאורך the entire lifecycle – from onboarding to expansion – making value visible, measurable, and actionable.
Key Responsibilities
- Build trusted relationships with customer stakeholders and act as a strategic advisor throughout the customer lifecycle.
- Create success plans with adoption milestones, business goals, measurable value indicators, and clear next steps.
- Conduct business reviews and value assessments to track progress, identify risks, and define follow-up actions.
- Support onboarding and transition activities to ensure a smooth handover from sales to delivery and operations.
- Drive adoption of AI and data solutions such as generative AI services, analytics platforms, data architectures, and automation capabilities.
- Identify adoption gaps, coordinate corrective actions, and ensure customer feedback and issues are effectively addressed.
- Monitor customer satisfaction, project status, and dependencies, and proactively manage risks and escalations.
- Identify renewal, cross-sell, and upsell opportunities based on customer priorities, usage patterns, and emerging business needs.
- Act as the central coordination point between customers and internal teams including sales, presales, delivery, support, and product management.
Your Profile
- Experience with generative AI, machine learning, analytics platforms, or modern data architectures.
- Knowledge of hyperscaler environments such as Azure, AWS, or Google Cloud.
- Expertise with CRM systems, customer success tools, adoption dashboards, or KPI tracking frameworks.
- Strong background in Customer Success, Account Management, Consulting, or a comparable customer-facing role in technology-driven environments.
- Solid understanding of AI, data, analytics, and cloud-based solution landscapes.
- Experience working with complex stakeholder environments and cross-functional teams.
- Bachelor’s or master’s degree in Business, Technology, Information Systems, Data, or a related field.
- Business-fluent German and English skills.
About T-Systems International GmbH
At T-Systems, we provide our business customers with the right system solutions for their digital business. With our portfolio, we ensure that digital transformation reduces complexity, lowers costs, and simplifies day-to-day work. Our focus areas are Connectivity, Digital, Cloud & Infrastructure, and Security – let’s power higher performance!
About the Business Unit
Within the Digital Solutions business unit, we focus on creating clear competitive advantages for our customers through pioneering digital solutions. Our goal is to help companies accelerate their digital transformation and strengthen their competitiveness in an increasingly digital market environment. The Digital Enabler area plays a key role in our portfolio, focusing on topics such as Artificial Intelligence, Data Intelligence & Big Data, Hyperautomation, Application-led Cloud Transformation, IoT, Digital Identity, and additional innovation domains. Across all industries, we deliver state-of-the-art expertise and solutions in close collaboration with our industry-aligned teams. Within AI & Data, our focus is on Generative AI & LLM services, classical machine learning and deep learning, AI & data architectures, Data Mesh, and Data Spaces.
Does this role sound like a great fit for you? Then take your opportunity and apply online.
This position is also available on a part-time basis.
Applicants with severe disabilities will be given preferential consideration in cases of equal qualification.