Data Science Leader, HCM

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

Lead SAP’s Data and Applied Science efforts to build the semantic and contextual foundation that makes SAP AI agents accurate and grounded in enterprise business master data and process context. Own AI platform and governance strategy, scale ontology-driven knowledge layers, and deliver large-scale AI programs across teams. Collaborate with domain experts and executives to translate business processes into reusable semantic frameworks and measurable business impact.

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FursaFursa
SAP
SAP
2 hours ago

Data Science Leader, HCM

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Job Summary

Lead SAP’s Data and Applied Science efforts to build the semantic and contextual foundation that makes SAP AI agents accurate and grounded in enterprise business master data and process context. Own AI platform and governance strategy, scale ontology-driven knowledge layers, and deliver large-scale AI programs across teams. Collaborate with domain experts and executives to translate business processes into reusable semantic frameworks and measurable business impact.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead the team building semantic and contextual foundations for SAP’s enterprise AI agents and assistants.
  • •Define and drive AI/ML architecture, platform strategy, model governance, responsible AI practices, and operational frameworks for enterprise-scale deployments.
  • •Design and scale ontology-driven enterprise intelligence solutions (knowledge graphs, semantic layers, business knowledge models) grounded in SAP master data and process context.
  • •Integrate knowledge graphs and ontology layers with ML, generative AI, agentic AI, and RAG architectures to improve reasoning, explainability, grounding, and business context.
  • •Manage technical delivery across multiple teams and business units, including setting priorities, tracking KPIs, and coordinating cross-organization initiatives and partnerships.
Travel: Low travel

Key Requirements

  • •10+ years leading, mentoring, and growing high-performing data science/ML/AI teams and delivering complex AI initiatives to production.
  • •5+ years people management experience with a track record of hiring, coaching, and retaining top AI talent.
  • •Define technical strategy and team priorities, aligning AI investments to business objectives, product roadmaps, and customer outcomes.
  • •Own large-scale AI programs across multiple teams/business units and partner with senior executives on AI strategy and investment priorities.
  • •Build a culture of technical excellence and operational rigor, including experience measuring business impact via KPIs and establishing reusable enterprise AI platforms/governance.
Experience:10+ yearsEnterprise softwareAIMachine learning
Skills:LeadershipStakeholder managementExecutive communicationTechnical strategyOperational rigor
Tech Stack:SAP DatasphereSAP HANA Cloud Knowledge Graph EngineSAP Business Data CloudSAP One Domain ModelSAP Graph APISAP Business Accelerator HubAI/MLML OpsLLM OpsModel governanceKnowledge graphsOntologiesSemantic technologiesEntity resolutionRAGRetrieval architecturesVector/keyword searchLakehouse

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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