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.Forward Deployed Data and Applied Science Chief Expert(m/w/x)
Designing and governing Agentic AI systems for SAP's business application software. Deep expertise in data science, ML, and AI governance required. Constant learning, skill growth, and team support.
Anforderungen
- Proactive AI leveraging in workflows
- Deep expertise in data science, applied statistics, machine learning
- Lead and govern complex initiatives in high-ambiguity environments
- Work in Agentic AI context, shaping autonomous AI agents
- Strong command of modern analytics and ML technologies
- Exceptional stakeholder communication and advisory skills
- Thought leader or 'go-to' expert in data and applied science
- Expertise in designing scalable end-to-end data pipelines and ETL/ELT architectures
- Strong expertise in enterprise data modelling, orchestration, system integration
- Advanced proficiency in Python and SQL for large-scale data engineering
- Hands-on experience with PySpark, Databricks, distributed data processing
- Expertise in workflow orchestration using Airflow
- Strong experience with SAP HANA and enterprise-grade data platforms
- Proficiency in lakehouse and columnar storage technologies
- Experience implementing real-time streaming architectures using Kafka
- Strong focus on data quality, governance, compliance, PII management
- Expertise in applying CI/CD, Docker, Git in modern data engineering
Aufgaben
- Define and lead complex data science and AI initiatives
- Align data science programs with business and financial goals
- Set standards for quality, rigor, and scalability in advanced analytics
- Design and govern robust data models and ML/AI systems
- Translate strategic business challenges into clear analytical approaches
- Partner with senior leaders to influence strategy and investment decisions
- Embed in customer projects to understand business and technical landscapes
- Represent SAP externally as a recognized expert
- Mentor senior data scientists for innovation and professional growth
- Lead customer-facing engagements to shape high-value AI initiatives
- Drive co-creation and delivery of enterprise-scale solutions
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI
- Python
- SQL
- PySpark
- Databricks
- Airflow
- SAP HANA
- Parquet
- Delta Lake
- Kafka
- CI/CD
- Docker
- Git
- NLP
- generative AI
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Sonstige Vorteile
- Great benefits
- Health and well-being focus
- Accessibility accommodations
Mentoring & Coaching
- Team growth support
Lockere Unternehmenskultur
- Inclusive culture
Flexibles Arbeiten
- Flexible working models
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.Forward Deployed Data and Applied Science Chief Expert(m/w/x)
Designing and governing Agentic AI systems for SAP's business application software. Deep expertise in data science, ML, and AI governance required. Constant learning, skill growth, and team support.
Anforderungen
- Proactive AI leveraging in workflows
- Deep expertise in data science, applied statistics, machine learning
- Lead and govern complex initiatives in high-ambiguity environments
- Work in Agentic AI context, shaping autonomous AI agents
- Strong command of modern analytics and ML technologies
- Exceptional stakeholder communication and advisory skills
- Thought leader or 'go-to' expert in data and applied science
- Expertise in designing scalable end-to-end data pipelines and ETL/ELT architectures
- Strong expertise in enterprise data modelling, orchestration, system integration
- Advanced proficiency in Python and SQL for large-scale data engineering
- Hands-on experience with PySpark, Databricks, distributed data processing
- Expertise in workflow orchestration using Airflow
- Strong experience with SAP HANA and enterprise-grade data platforms
- Proficiency in lakehouse and columnar storage technologies
- Experience implementing real-time streaming architectures using Kafka
- Strong focus on data quality, governance, compliance, PII management
- Expertise in applying CI/CD, Docker, Git in modern data engineering
Aufgaben
- Define and lead complex data science and AI initiatives
- Align data science programs with business and financial goals
- Set standards for quality, rigor, and scalability in advanced analytics
- Design and govern robust data models and ML/AI systems
- Translate strategic business challenges into clear analytical approaches
- Partner with senior leaders to influence strategy and investment decisions
- Embed in customer projects to understand business and technical landscapes
- Represent SAP externally as a recognized expert
- Mentor senior data scientists for innovation and professional growth
- Lead customer-facing engagements to shape high-value AI initiatives
- Drive co-creation and delivery of enterprise-scale solutions
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI
- Python
- SQL
- PySpark
- Databricks
- Airflow
- SAP HANA
- Parquet
- Delta Lake
- Kafka
- CI/CD
- Docker
- Git
- NLP
- generative AI
Benefits
Weiterbildungsangebote
- Constant learning
- Skill growth
Sonstige Vorteile
- Great benefits
- Health and well-being focus
- Accessibility accommodations
Mentoring & Coaching
- Team growth support
Lockere Unternehmenskultur
- Inclusive culture
Flexibles Arbeiten
- Flexible working models
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
SAP
Branche
IT
Beschreibung
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
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