Data Science Chief Expert Finance

We help the world run better
At SAP we keep it simple: you bring your best to us and well bring out the best in you. Were builders touching over 20 industries and 80% of global commerce and we need your unique talents to help shape whats next. The work is challenging but it matters. Youll find a place where you can be yourself prioritize your wellbeing and truly belong. Whats in it for you Constant learning skill growth great benefits and a team that wants you to grow and succeed.

The context engine that makes AI enterprise ready.

Anyone can build an AI agent. What makes SAPs agents different is accuracy grounded in the richest enterprise data and process context in the world. As part of our Data and Applied Science team youll build the context enginegrounded in SAPs Business ontology: the semantic infrastructure that transforms raw business data into the knowledge layer powering SAPs AI agents and assistants.

What youll build:

The Data and Applied Science team will build the semantic and contextual foundation of SAPs AI. While generic AI agents operate on surface-level patterns SAP agents are accurate because they understand the real semantics of enterprise business master data process flows and domain relationships. You will help build and scale the layer that makes that possible. This may include the following:

• Leverage deep SAP data and process understanding including SAP data models metadata structures and end-to-end business process semantics across Order-to-Cash Procure-to-Pay Record-to-Report and Plan-to-Produce to build AI and semantic data solutions using SAP master data domains SAP One Domain Model SAP Graph API and SAP Business Accelerator Hub assets.
• Design and maintain enterprise ontologies and semantic models to improve interoperability entity consistency and business context across SAP and non-SAP data landscapes harmonizing sources such as Salesforce Workday ServiceNow MES/IoT systems and external data providers into unified semantic or analytical layers.
• Work with cloud and data platforms such as Databricks SAP Datasphere SAP HANA Cloud AWS Azure or Google Cloud Platform to support reliable AI workflows.
• Translate ambiguous business challenges into concrete AI use cases technical designs and measurable business outcomes.
• Design develop evaluate and operationalize end-to-end machine learning and AI solutions from data preprocessing feature engineering experimentation and validation through to deployment production handoff lifecycle support and continuous improvement.
• Apply advanced methods across machine learning deep learning statistical modeling data mining optimization and applied AI to solve enterprise-scale problems.
• Develop AI capabilities including generative AI and LLM-based solutions using enterprise business data knowledge graphs business process intelligence and other structured and unstructured data assets.
• Partner closely with product engineering business and customer-facing teams to ensure solutions are scalable practical and production-ready.

What youll bring:

Required Qualifications

• Masters degree or PhD in Computer Science Applied Mathematics Statistics Engineering orrelatedquantitativefields.
• 10 years of experience to include deep expertise in machine learning deep learning statistical modeling generative AI and LLMs with hands-on experience developing evaluating and improving models using real-world datasets including data preprocessing feature engineering and experimentation and strong analytical and mathematical modeling skills.
• 10 years of experience in machine learning data science applied AI AI research knowledge engineering or semantic data systems in industry research labs or advanced academic environments.
• Strong Python and SQL skills including production-grade Python development and experience with ML libraries such as PyTorch TensorFlow and scikit-learn.
• Demonstratedexperience ofdeploying shipping and operating AI or machine learning solutions in production environments including production handoff and lifecycle support.
• Experience with big data infrastructure data processing and transformation tools such as Databricks and cloud environments such as AWS Azure or Google Cloud Platform.
• Excellent communication collaboration and customer-facing skills with significant experience in agile development environments and a strong curiosity for exploring new AI techniques and their practical applications for SAP customers and products.
• Deep working knowledge of SAP data models metadata structures and core business processes end-to-end including how process semantics map to underlying business objects and datasets.
• Hands-on experience with the SAP data and AI platform stack including SAP Datasphere SAP HANA Cloud Knowledge Graph Engine SAP Business Data Cloud SAP One Domain Model SAP Graph API and SAP Business Accelerator Hub with working knowledge of SAP master data domains and Master Data Governance constructs.
• Hands-on experience designing and maintaining enterprise ontologies using OWL RDF/RDFS SKOS and SHACL with proficiency in SPARQL Cypher and GQL and experience evaluating trade-offs between RDF triple stores and labeled property graph databases.
• Experience building entity resolution deduplication and identity stitching pipelines across SAP and non-SAP systems with proven ability to harmonize data into a unified semantic layer using federation virtualization replication and shared ontology mapping approaches.
• Understandingdata product and data mesh principles including semantic contracts and governed self-service consumption.Proven experience translating abstract business challenges into concrete AI solutions delivering from concept through production deployment production handoff and business adoption.
• Experience working with cross-functional stakeholders including product engineering business and customer-facing teams in agile software development environments and enterprise product organizations.
• Experience building AI capabilities using enterprise business data knowledge graphs or business process intelligence.

Preferred Qualification

• Experience with Retrieval-Augmented Generation vector databases embeddings semantic retrieval and enterprise knowledge grounding.
• Experience contributing to reusable AI platforms foundation model initiatives shared AI services or AI capabilities adopted across multiple product areas.
• Experience with agentic AI reasoning frameworks planning orchestration tool use or multi-agent architectures.
• Ability to design upper-level and mid-level ontologies aligned with industry standards map application-specific schemas to shared ontologies using declarative mappingstandards andapply semantic interoperability frameworks and canonical business entity models across complex application landscapes.

Where you belong:

Join a collaborative forward-thinking team defining how enterprise AI actuallyworks on aglobal scale. Youll work alongside curious engineers thoughtful product minds and applied researchers all focused on building AI that customers can trust in the highest-stakes business processes. Theres room to grow into new technical spaces ship real impact and shape SAPs AI future. If you value learning real ownership and building foundational infrastructure that matters youll feel at home here.

#dlhiring

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
SAPs 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 world.

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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.

Qualified applicants will receive consideration for employment without regard to their age race religion national origin ethnicity gender (including pregnancy childbirth et al) sexual orientation gender identity or expression protected veteran status or disability in compliance with applicable federal state and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

We are ethical and compliant
Our leadership credo: Do whats right. Make SAP better for generations to come. We believe that great leadership extends far beyond the mere pursuit of business goals. We value and foster leadership that is driven with purpose and integrity. Our leaders are role models who uphold SAPs values and shape SAPs culture of integrity by demonstrating and championing ethical and compliant behavior towards all stakeholders.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 459696 Work Area: Software-Design and Development Expected Travel: 0 - 10% Career Status: Professional Employment Type: Regular Full Time Additional Locations: #LI-Hybrid