Overview In this Data Science Manager role, you will build and lead a cross-functional team to deliver enterprise AI and agentic support solutions at scale. You'll own the technical strategy and drive the roadmap for intelligent support across SAP's customer ecosystem, collaborating with global support engineers and leadership. You address operational needs with secure, compliant, reliable AI systems and foster innovation with measurable business value. This role blends hands-on leadership, strategic thinking, and a focus on enabling productive customer support experiences.
Compensation / Benefits- great benefits
- focus on wellbeing
- flexible working models
Responsibilities- Build and lead a multidisciplinary team (software, data, security, ML, MLOps)
- Own the technical strategy and roadmap for intelligent support solutions
- Advance agentic and AI solutions balancing innovation with business value
- Ensure enterprise security, compliance, and availability standards
- Collaborate with Customer Support leadership to address operational needs
- Manage stakeholder relationships across the support organization
- Establish ML engineering best practices, code quality standards, and processes
- Report progress and priorities to senior leadership
Key requirements- 5+ years in enterprise AI & data science
- 3+ years managing ML engineering teams
- Proven delivery of enterprise-grade AI solutions
- Strong understanding of software architecture, cloud tech, agents and AI pipelines
- Experience with agile development methodologies
- Excellent stakeholder management and communication
- Knowledge of security and compliance for enterprise software
- Ability to balance technical depth with strategic thinking
- Outstanding leadership and team-building skills
- Knowledge of SAP support ecosystem is a plus
- Fluent in English
- stakeholder management
- communication
- leadership
- enterprise AI
- data science
- ML engineering
