Data Science Manager - AI

SAP
Bellevue
Workplace: HybridFull timeUSD 193,400 - 420,200 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Leadership","Stakeholder management","Communication","Team building","Strategic thinking"]

Lead the creation of a new team within AI & Support Engineering that builds and maintains customer support AI and agentic solutions. You’ll own the technical roadmap for intelligent, secure, and highly available support experiences, balancing innovation with enterprise requirements. Manage ML engineering best practices, collaborate with Customer Support leadership, and partner across SAP’s global support organization to deliver preventive and value-adding AI outcomes at scale.

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FursaFursa
SAP
SAP
2 hours ago

Data Science Manager - AI

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Last checked: 2 hours agoStatus: Live

Job Summary

Lead the creation of a new team within AI & Support Engineering that builds and maintains customer support AI and agentic solutions. You’ll own the technical roadmap for intelligent, secure, and highly available support experiences, balancing innovation with enterprise requirements. Manage ML engineering best practices, collaborate with Customer Support leadership, and partner across SAP’s global support organization to deliver preventive and value-adding AI outcomes at scale.
Location: Bellevue
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Build and lead a team spanning software, data, security, ML, and MLOps engineers.
  • •Own the technical strategy and roadmap for intelligent support solutions.
  • •Drive development of agentic and AI solutions balancing innovation with value.
  • •Ensure solutions meet enterprise security, compliance, and availability standards.
  • •Establish ML engineering best practices, code quality standards, and development processes; report progress and priorities to senior leadership.
Travel: Low travel

Pay and Benefits

Salary: USD 193,400 - 420,200 annually

Key Requirements

  • •5+ years of experience in enterprise AI and data science.
  • •3+ years of experience managing ML engineering teams.
  • •Proven delivery of enterprise-grade, data-driven AI solutions.
  • •Strong understanding of modern software architecture, cloud technologies, AI/agentic pipelines, and agile development.
  • •Knowledge of security and compliance requirements for enterprise software.
Experience:5+ yearsEnterprise AIData scienceML engineering
Skills:LeadershipStakeholder managementCommunicationTeam buildingStrategic thinking
Languages:English
Tech Stack:AIAgentic solutionsMLMLOpsAI pipelinesCloud technologiesAgile

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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