Data Science Leader, HCM (Singapore, SG, 117440)

SAP
Singapore
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 10+ yearsSkills: ["Leadership","Stakeholder management","Executive communication","Mentoring","Strategic thinking"]

Lead SAP’s Data and Applied Science efforts to build the context engine that makes AI agents enterprise-ready. Own the semantic and contextual foundation grounded in SAP’s business ontology—transforming enterprise master data and process flows into knowledge layers powering trustworthy AI assistants. Set technical strategy, define governance and operating frameworks, and guide ML/LLM platform and model lifecycle execution across global teams to deliver measurable customer and business outcomes.

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FursaFursa
SAP
SAP
2 hours ago

Data Science Leader, HCM (Singapore, SG, 117440)

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Last checked: 2 hours agoStatus: Live

Job Summary

Lead SAP’s Data and Applied Science efforts to build the context engine that makes AI agents enterprise-ready. Own the semantic and contextual foundation grounded in SAP’s business ontology—transforming enterprise master data and process flows into knowledge layers powering trustworthy AI assistants. Set technical strategy, define governance and operating frameworks, and guide ML/LLM platform and model lifecycle execution across global teams to deliver measurable customer and business outcomes.
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 to build and scale SAP’s semantic and contextual foundation for AI agents and assistants.
  • •Define AI/ML architecture and platform strategy, including model governance, responsible AI practices, and enterprise operating frameworks.
  • •Oversee model lifecycle management and establish best practices for MLOps and LLM Ops to support pragmatic build-vs-buy decisions.
  • •Design and scale ontology-driven enterprise intelligence solutions, including knowledge graphs, semantic layers, metadata management, and entity resolution.
  • •Drive cross-team and executive alignment by setting priorities, influencing senior leadership, and delivering large-scale AI programs across business units.
Travel: Low travel

Key Requirements

  • •10+ years leading, mentoring, and growing data science/ML teams, driving complex AI initiatives from concept to production across stakeholders.
  • •Experience defining technical strategy, setting team priorities, and aligning AI investments with business objectives, product roadmaps, and customer outcomes.
  • •5+ years of people management experience leading data science and AI teams, with a track record of hiring, coaching, and retaining top AI talent.
  • •Proven delivery of large-scale AI programs across multiple teams and business units, partnering with senior executives to define AI strategy and investment priorities.
  • •Strong knowledge of SAP domains, data models, metadata structures, and core business processes, including experience with SAP’s data and AI platform stack.
Experience:10+ yearsAIMachine learningEnterprise AI
Skills:LeadershipStakeholder managementExecutive communicationMentoringStrategic thinking
Tech Stack:RAGMLOpsLLM OpsKnowledge graphsOntologiesSemantic retrievalSemantic searchSAP DatasphereSAP HANA Cloud Knowledge Graph EngineSAP Business Data CloudSAP One Domain ModelSAP Graph APISAP Business Accelerator Hub

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
Glassdoor
Glassdoor: 4.1
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