We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

Summary:

At SAP, we are bringing together state-of-the-art AI technology with our extensive industry-specific data and deep process knowledge to create innovative AI capabilities across SAP products & services. Large Language Models (LLMs) hold immense potential to change the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains. However, deploying Large Language Models (LLM) for business applications presents challenges due to their lack of knowledge about structured and unstructured assets involving business data models, business process metadata and documentation, which slows the development progress. It is SAP's mission to overcome this challenge within the realm of Business AI. Our goal is to provide SAP Knowledge Graph as the key differentiator to address LLM challenges like hallucination and compliance, as well as enable the development of the foundation models on structured data to deliver distinctive generative AI solutions to our customers.
For our growing team we are looking for a Data Science Manager (f/m/) based in Walldorf or Berlin taking on the following responsibilities:

• Lead the team responsible for content development and enrichment of SAP Knowledge Graph
• Build and maintain strong relationships with key customers, stakeholders, and partners, understanding their requirements and driving customer-centric high-value Knowledge Graph (KG) and AI solutions.
• Drive design, development, and deployment of knowledge graph solutions, ensuring alignment with SAP business objectives.
• Lead and mentor multiple teams across locations comprising data scientists, cloud, data and knowledge engineers and research scientists, including regular alignment with the Chief Expert of Knowledge Graphs and Semantic Technologies.
• Support hiring, onboarding and performance management of teams fostering collaboration, innovation and deliver high-impact work.
• Communicate effectively the team's progress, challenges, and strategic insights to stakeholders.

What you bring

• Bachelors or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, Physics, or other relevant disciplines; PhD degree is a plus but not mandatory.
• 10+ years of related professional experience with a deep understanding of enterprise business processes and systems.
• Vast experience in AI and KG projects with proven technical skills in the RDF knowledge graph stack
• Experience in project and people management, with a demonstrated ability to lead and develop high-performing AI and multi-disciplinary teams.
• Proven track record of exemplary leadership and strategic mindset, complemented by superior organizational abilities. 
• Strong drive to deliver value to internal and external customers, with a history of understanding customer needs and translating to technical capabilities.
• Extensive understanding of SAP data, solutions and technologies, and an ability to integrate AI capabilities with SAP applications. Extensive experience with structured data and relevant use cases.
• Experience in driving development, evaluation and implementation of KG-based solutions is highly desirable.
• Proven track record of spearheading complex AI projects, with a demonstrable understanding of how to align technical teams and business goals.
• Exceptional communication and interpersonal skills, with ability to present complex information clearly and persuasively and to effectively collaborate with stakeholders at all levels of the organizatio
  
  

#SAPAICareers, #SAPBusinessAICareers, #SAPAIGerman

​Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.