Data Science Leader, CX

SAP
Palo Alto
Workplace: HybridFull timeUSD 244,700 - 609,200 annuallyFunction: Data Science & Machine LearningExperience: 10+ yearsSkills: ["Leadership","Mentoring","Stakeholder management","Executive communication","Operational rigor"]

Lead SAP’s Data and Applied Science team that builds the semantic and contextual foundation for SAP’s enterprise AI agents. Drive strategy, priorities, and responsible execution across multiple stakeholders while scaling ontology-driven knowledge layers grounded in SAP business master data and process flows. Partner across product and business units to define AI investment priorities, governance, and platform adoption, delivering large-scale, production-grade AI programs and reusable enterprise capabilities.

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SAP
SAP
2 hours ago

Data Science Leader, CX

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Last checked: 2 hours agoStatus: Live

Job Summary

Lead SAP’s Data and Applied Science team that builds the semantic and contextual foundation for SAP’s enterprise AI agents. Drive strategy, priorities, and responsible execution across multiple stakeholders while scaling ontology-driven knowledge layers grounded in SAP business master data and process flows. Partner across product and business units to define AI investment priorities, governance, and platform adoption, delivering large-scale, production-grade AI programs and reusable enterprise capabilities.
Location: Palo Alto
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 in building and scaling SAP’s semantic and contextual foundation for enterprise AI agents and assistants.
  • •Define technical strategy, team priorities, and responsible AI/operational governance frameworks for enterprise-scale deployments.
  • •Design and scale ontology-driven enterprise intelligence solutions, including knowledge graphs, semantic layers, and business knowledge models.
  • •Drive integration of knowledge graphs and ontology layers with ML, generative AI, and agentic AI architectures (including RAG) to improve grounding and explainability.
  • •Manage cross-organizational AI delivery across multiple teams and business units, partnering with executives to shape AI investment priorities and platform adoption via KPIs.
Travel: Medium travel

Pay and Benefits

Salary: USD 244,700 - 609,200 annually

Key Requirements

  • •10+ years leading, mentoring, and growing teams of data scientists, ML engineers, and AI practitioners, delivering complex AI initiatives from concept to production.
  • •Experience defining technical strategy, setting team priorities, and aligning AI investments with business objectives and product roadmaps.
  • •Demonstrated people management success, including hiring, coaching, and retaining top AI talent (5+ years).
  • •Proven delivery of large-scale AI programs across multiple teams and business units, partnering with senior executives on AI strategy and investment priorities.
  • •Strong stakeholder management and executive communication skills, with the ability to translate technical concepts into business value.
Experience:10+ yearsAIMachine learningKnowledge graphsOntology engineeringEnterprise intelligence
Skills:LeadershipMentoringStakeholder managementExecutive communicationOperational rigor
Tech Stack:AIMachine learningDeep learningML OpsLLM OpsMLOpsRAGAgentic orchestrationKnowledge graphsOntologiesEntity resolutionSemantic retrievalSemantic searchHybrid vectorKeyword searchLakehouse architecturesSAP DatasphereSAP HANA Cloud Knowledge Graph EngineSAP Business Data CloudSAP One Domain Model

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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