Data Science Leader, Finance

SAP
Singapore
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 10+ yearsSkills: ["Leadership","Stakeholder management","Executive communication","Technical excellence","Operational rigor"]

Lead the Data and Applied Science team building SAP’s context engine that makes enterprise AI agents accurate and grounded in SAP business ontology, master data, and process semantics. You’ll define technical strategy, prioritize initiatives, and drive large-scale AI programs to production across multiple teams and stakeholders. Collaborate on knowledge graphs, ontologies, and RAG-based semantic retrieval, while establishing governance and operational frameworks for responsible enterprise deployment.

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SAP
SAP
2 hours ago

Data Science Leader, Finance

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Job Summary

Lead the Data and Applied Science team building SAP’s context engine that makes enterprise AI agents accurate and grounded in SAP business ontology, master data, and process semantics. You’ll define technical strategy, prioritize initiatives, and drive large-scale AI programs to production across multiple teams and stakeholders. Collaborate on knowledge graphs, ontologies, and RAG-based semantic retrieval, while establishing governance and operational frameworks for responsible enterprise deployment.
Location: Singapore
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead the Data and Applied Science team building semantic and contextual foundations for SAP’s AI agents and assistants grounded in SAP business ontology.
  • •Define AI strategy and platform priorities, aligning investments with business objectives, product roadmaps, and customer outcomes.
  • •Build and scale ontology-driven enterprise intelligence solutions, including knowledge graphs and reusable semantic/knowledge graph frameworks.
  • •Drive integration of knowledge graphs and ontology layers with machine learning, generative AI, agentic AI, and RAG architectures to improve reasoning, explainability, and grounding.
  • •Establish governance and operational frameworks for enterprise-scale AI deployments, including model lifecycle management and responsible AI practices.
Travel: Low travel

Key Requirements

  • •10+ years leading, mentoring, and growing high-performing teams of data scientists, machine learning engineers, and AI practitioners, driving complex AI initiatives from concept to production.
  • •Ability to define technical strategy, establish team priorities, and align AI investments with business objectives, product roadmaps, and customer outcomes.
  • •5+ years of people management experience leading data science and AI teams, including hiring, coaching, and retaining top AI talent.
  • •Strong expertise in ontology engineering, semantic technologies, metadata management, entity resolution, taxonomies, and knowledge representation for enterprise intelligence and knowledge graphs.
  • •Experience with SAP data/AI platform stack (SAP Datasphere, SAP HANA Cloud Knowledge Graph Engine, SAP Business Data Cloud, SAP One Domain Model, SAP Graph API, SAP Business Accelerator Hub) and AI platform governance.
Experience:10+ yearsEnterprise AI
Skills:LeadershipStakeholder managementExecutive communicationTechnical excellenceOperational rigor
Tech Stack:Machine learningDeep learningNeural networksAI/ML architectureModel governanceResponsible AIML OpsLLM OpsModel lifecycle managementKnowledge graphsOntologiesSemantic technologiesMetadata managementEntity resolutionTaxonomiesKnowledge representationRAGGenerative AIAgentic AISemantic search

Company Brief

SAP
Global enterprise software company best known for ERP systems and business applications covering finance, supply chain, procurement, HR, analytics, and customer management for large organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Walldorf, Germany
Founded: 1972
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Glassdoor: 4.1
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